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Sanjay Shakkottai
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2020 – today
- 2024
- [j67]Zaiwei Chen
, Siva Theja Maguluri
A Lyapunov Theory for Finite-Sample Guarantees of Markovian Stochastic Approximation. Oper. Res. 72(4): 1352-1367 (2024) - [j66]Arghyadip Roy
Adaptive KL-UCB Based Bandit Algorithms for Markovian and I.I.D. Settings. IEEE Trans. Autom. Control. 69(4): 2637-2644 (2024) - [j65]Nihal Sharma
Bandits with Stochastic Experts: Constant Regret, Empirical Experts and Episodes. ACM Trans. Model. Perform. Evaluation Comput. Syst. 9(3): 12:1-12:33 (2024) - [c121]Litu Rout, Yujia Chen, Abhishek Kumar, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu:
Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion. CVPR 2024: 9472-9481 - [c120]Liam Collins, Hamed Hassani, Mahdi Soltanolkotabi, Aryan Mokhtari, Sanjay Shakkottai:
Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks. ICML 2024 - [i78]Liam Collins, Advait Parulekar, Aryan Mokhtari, Sujay Sanghavi, Sanjay Shakkottai:
In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness. CoRR abs/2402.11639 (2024) - [i77]Litu Rout, Yujia Chen, Nataniel Ruiz, Abhishek Kumar, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu:
RB-Modulation: Training-Free Personalization of Diffusion Models using Stochastic Optimal Control. CoRR abs/2405.17401 (2024) - [i76]Litu Rout, Yujia Chen, Nataniel Ruiz, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu:
Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations. CoRR abs/2410.10792 (2024) - [i75]Sai Shankar Narasimhan, Shubhankar Agarwal, Litu Rout, Sanjay Shakkottai, Sandeep P. Chinchali:
Constrained Posterior Sampling: Time Series Generation with Hard Constraints. CoRR abs/2410.12652 (2024) - [i74]Jacob L. Block, Sundararajan Srinivasan, Liam Collins, Aryan Mokhtari, Sanjay Shakkottai:
Meta-Learning Adaptable Foundation Models. CoRR abs/2410.22264 (2024) - 2023
- [j64]Ronshee Chawla
Multiagent Low-Dimensional Linear Bandits. IEEE Trans. Autom. Control. 68(5): 2667-2682 (2023) - [c119]Matthew Faw, Litu Rout, Constantine Caramanis, Sanjay Shakkottai:
Beyond Uniform Smoothness: A Stopped Analysis of Adaptive SGD. COLT 2023: 89-160 - [c118]Advait Parulekar, Liam Collins, Karthikeyan Shanmugam
InfoNCE Loss Provably Learns Cluster-Preserving Representations. COLT 2023: 1914-1961 - [c117]Jerry Gu, Liam Collins, Debashri Roy, Aryan Mokhtari, Sanjay Shakkottai, Kaushik R. Chowdhury
Meta-Learning for Image-Guided Millimeter-Wave Beam Selection in Unseen Environments. ICASSP 2023: 1-5 - [c116]Ronshee Chawla, Daniel Vial, Sanjay Shakkottai, R. Srikant:
Collaborative Multi-Agent Heterogeneous Multi-Armed Bandits. ICML 2023: 4189-4217 - [c115]Advait U. Parulekar, Karthikeyan Shanmugam
PAC Generalization via Invariant Representations. ICML 2023: 27378-27400 - [c114]Litu Rout, Negin Raoof, Giannis Daras, Constantine Caramanis, Alex Dimakis, Sanjay Shakkottai:
Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models. NeurIPS 2023 - [c113]Jiayi Chen
Darwin: Flexible Learning-based CDN Caching. SIGCOMM 2023: 981-999 - [c112]Daniel Vial
Robust Multi-Agent Bandits Over Undirected Graphs. SIGMETRICS (Abstracts) 2023: 67-68 - [i73]Litu Rout, Advait Parulekar, Constantine Caramanis, Sanjay Shakkottai:
A Theoretical Justification for Image Inpainting using Denoising Diffusion Probabilistic Models. CoRR abs/2302.01217 (2023) - [i72]Matthew Faw, Litu Rout, Constantine Caramanis, Sanjay Shakkottai:
Beyond Uniform Smoothness: A Stopped Analysis of Adaptive SGD. CoRR abs/2302.06570 (2023) - [i71]Advait Parulekar, Liam Collins, Karthikeyan Shanmugam
InfoNCE Loss Provably Learns Cluster-Preserving Representations. CoRR abs/2302.07920 (2023) - [i70]Ronshee Chawla, Daniel Vial, Sanjay Shakkottai, R. Srikant:
Collaborative Multi-Agent Heterogeneous Multi-Armed Bandits. CoRR abs/2305.18784 (2023) - [i69]Litu Rout, Negin Raoof, Giannis Daras, Constantine Caramanis, Alexandros G. Dimakis, Sanjay Shakkottai:
Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models. CoRR abs/2307.00619 (2023) - [i68]Liam Collins, Hamed Hassani, Mahdi Soltanolkotabi
Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks. CoRR abs/2307.06887 (2023) - [i67]Litu Rout, Yujia Chen, Abhishek Kumar, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu:
Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion. CoRR abs/2312.00852 (2023) - 2022
- [j63]Matthew Faw, Orestis Papadigenopoulos, Constantine Caramanis, Sanjay Shakkottai:
Learning To Maximize Welfare with a Reusable Resource. Proc. ACM Meas. Anal. Comput. Syst. 6(2): 27:1-27:30 (2022) - [j62]Jianhan Song, Gustavo de Veciana, Sanjay Shakkottai:
Online Learning for Hierarchical Scheduling to Support Network Slicing in Cellular Networks. SIGMETRICS Perform. Evaluation Rev. 49(3): 8-9 (2022) - [j61]Jianhan Song
Meta-Scheduling for the Wireless Downlink Through Learning With Bandit Feedback. IEEE/ACM Trans. Netw. 30(2): 487-500 (2022) - [c111]Daniel Vial, Advait Parulekar, Sanjay Shakkottai, R. Srikant:
Improved Algorithms for Misspecified Linear Markov Decision Processes. AISTATS 2022: 4723-4746 - [c110]Sen Lin, Ming Shi, Anish Arora, Raef Bassily, Elisa Bertino, Constantine Caramanis, Kaushik R. Chowdhury
Leveraging Synergies Between AI and Networking to Build Next Generation Edge Networks. CIC 2022: 16-25 - [c109]Liam Collins, Aryan Mokhtari, Sanjay Shakkottai:
How Does the Task Landscape Affect MAML Performance? CoLLAs 2022: 23-59 - [c108]Matthew Faw, Isidoros Tziotis, Constantine Caramanis, Aryan Mokhtari, Sanjay Shakkottai, Rachel A. Ward:
The Power of Adaptivity in SGD: Self-Tuning Step Sizes with Unbounded Gradients and Affine Variance. COLT 2022: 313-355 - [c107]Alexia Atsidakou, Orestis Papadigenopoulos, Constantine Caramanis, Sujay Sanghavi, Sanjay Shakkottai:
Asymptotically-Optimal Gaussian Bandits with Side Observations. ICML 2022: 1057-1077 - [c106]Liam Collins, Aryan Mokhtari, Sewoong Oh, Sanjay Shakkottai:
MAML and ANIL Provably Learn Representations. ICML 2022: 4238-4310 - [c105]Daniel Vial, Advait Parulekar, Sanjay Shakkottai, R. Srikant:
Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation. ICML 2022: 22203-22233 - [c104]Shuo Yang, Tongzheng Ren, Sanjay Shakkottai, Eric Price, Inderjit S. Dhillon, Sujay Sanghavi:
Linear Bandit Algorithms with Sublinear Time Complexity. ICML 2022: 25241-25260 - [c103]Jianhan Song, Gustavo de Veciana, Sanjay Shakkottai:
Online learning for multi-agent based resource allocation in weakly coupled wireless systems. MobiHoc 2022: 111-120 - [c102]Liam Collins, Hamed Hassani, Aryan Mokhtari, Sanjay Shakkottai:
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning. NeurIPS 2022 - [c101]Orestis Papadigenopoulos, Constantine Caramanis, Sanjay Shakkottai:
Non-Stationary Bandits under Recharging Payoffs: Improved Planning with Sublinear Regret. NeurIPS 2022 - [c100]Daniel Vial, Sujay Sanghavi, Sanjay Shakkottai, R. Srikant:
Minimax Regret for Cascading Bandits. NeurIPS 2022 - [c99]Matthew Faw, Orestis Papadigenopoulos, Constantine Caramanis, Sanjay Shakkottai:
Learning To Maximize Welfare with a Reusable Resource. SIGMETRICS (Abstracts) 2022: 111-112 - [c98]Isfar Tariq, Kartik Patel, Thomas David Novlan, Salam Akoum, Milap Majmundar, Gustavo de Veciana, Sanjay Shakkottai:
Bandit Learning-based Online User Clustering and Selection for Cellular Networks. WiOpt 2022: 33-40 - [i66]Liam Collins, Aryan Mokhtari, Sewoong Oh, Sanjay Shakkottai:
MAML and ANIL Provably Learn Representations. CoRR abs/2202.03483 (2022) - [i65]Matthew Faw, Isidoros Tziotis, Constantine Caramanis, Aryan Mokhtari, Sanjay Shakkottai, Rachel A. Ward:
The Power of Adaptivity in SGD: Self-Tuning Step Sizes with Unbounded Gradients and Affine Variance. CoRR abs/2202.05791 (2022) - [i64]Daniel Vial, Sanjay Shakkottai, R. Srikant:
Robust Multi-Agent Bandits Over Undirected Graphs. CoRR abs/2203.00076 (2022) - [i63]Daniel Vial, Sujay Sanghavi, Sanjay Shakkottai, R. Srikant:
Minimax Regret for Cascading Bandits. CoRR abs/2203.12577 (2022) - [i62]Liam Collins, Hamed Hassani, Aryan Mokhtari, Sanjay Shakkottai:
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning. CoRR abs/2205.13692 (2022) - [i61]Orestis Papadigenopoulos, Constantine Caramanis, Sanjay Shakkottai:
Non-Stationary Bandits under Recharging Payoffs: Improved Planning with Sublinear Regret. CoRR abs/2205.14790 (2022) - [i60]Advait Parulekar, Karthikeyan Shanmugam
PAC Generalization via Invariant Representations. CoRR abs/2205.15196 (2022) - [i59]Dawei Sun, Negin Musavi, Geir E. Dullerud, Sanjay Shakkottai, Sayan Mitra
Learning Certifiably Robust Controllers Using Fragile Perception. CoRR abs/2209.11328 (2022) - 2021
- [j60]Subhashini Krishnasamy
Learning Unknown Service Rates in Queues: A Multiarmed Bandit Approach. Oper. Res. 69(1): 315-330 (2021) - [j59]Jianhan Song
Online learning for hierarchical scheduling to support network slicing in cellular networks. Perform. Evaluation 152: 102237 (2021) - [j58]Daniel Vial
Robust Multi-Agent Bandits Over Undirected Graphs. Proc. ACM Meas. Anal. Comput. Syst. 6(3): 53:1-53:57 (2021) - [j57]Isfar Tariq
Auto-Tuning for Cellular Scheduling Through Bandit-Learning and Low-Dimensional Clustering. IEEE/ACM Trans. Netw. 29(5): 1933-1947 (2021) - [c97]Soumya Basu, Orestis Papadigenopoulos, Constantine Caramanis, Sanjay Shakkottai:
Contextual Blocking Bandits. AISTATS 2021: 271-279 - [c96]Negin Musavi, Dawei Sun, Sayan Mitra
HooVer: A Framework for Verification and Parameter Synthesis in Stochastic Systems using Optimistic Optimization. CCTA 2021: 923-930 - [c95]Alexia Atsidakou, Orestis Papadigenopoulos, Soumya Basu, Constantine Caramanis, Sanjay Shakkottai:
Combinatorial Blocking Bandits with Stochastic Delays. ICML 2021: 404-413 - [c94]Liam Collins, Hamed Hassani, Aryan Mokhtari, Sanjay Shakkottai:
Exploiting Shared Representations for Personalized Federated Learning. ICML 2021: 2089-2099 - [c93]Yi Zhang
MmWave Codebook Selection in Rapidly-Varying Channels via Multinomial Thompson Sampling. MobiHoc 2021: 151-160 - [c92]Daniel Vial, Sanjay Shakkottai, R. Srikant:
Robust Multi-Agent Multi-Armed Bandits. MobiHoc 2021: 161-170 - [c91]Tuhinangshu Choudhury, Gauri Joshi, Weina Wang, Sanjay Shakkottai:
Job Dispatching Policies for Queueing Systems with Unknown Service Rates. MobiHoc 2021: 181-190 - [c90]Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam
Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators. NeurIPS 2021: 21440-21452 - [i58]Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam:
A Lyapunov Theory for Finite-Sample Guarantees of Asynchronous Q-Learning and TD-Learning Variants. CoRR abs/2102.01567 (2021) - [i57]Liam Collins, Hamed Hassani, Aryan Mokhtari, Sanjay Shakkottai:
Exploiting Shared Representations for Personalized Federated Learning. CoRR abs/2102.07078 (2021) - [i56]Shuo Yang, Tongzheng Ren, Sanjay Shakkottai, Eric Price, Inderjit S. Dhillon, Sujay Sanghavi:
Linear Bandit Algorithms with Sublinear Time Complexity. CoRR abs/2103.02729 (2021) - [i55]Daniel Vial, Advait Parulekar, Sanjay Shakkottai, R. Srikant:
Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation. CoRR abs/2105.01593 (2021) - [i54]Alexia Atsidakou, Orestis Papadigenopoulos, Soumya Basu, Constantine Caramanis, Sanjay Shakkottai:
Combinatorial Blocking Bandits with Stochastic Delays. CoRR abs/2105.10625 (2021) - [i53]Tuhinangshu Choudhury, Gauri Joshi, Weina Wang, Sanjay Shakkottai:
Job Dispatching Policies for Queueing Systems with Unknown Service Rates. CoRR abs/2106.04707 (2021) - [i52]Steven Gutstein, Brent Lance, Sanjay Shakkottai:
Does Optimal Source Task Performance Imply Optimal Pre-training for a Target Task? CoRR abs/2106.11174 (2021) - [i51]Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam:
Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators. CoRR abs/2106.12729 (2021) - [i50]Nihal Sharma, Soumya Basu, Karthikeyan Shanmugam, Sanjay Shakkottai:
Episodic Bandits with Stochastic Experts. CoRR abs/2107.03263 (2021) - [i49]Daniel Vial, Advait Parulekar, Sanjay Shakkottai, R. Srikant:
Improved Algorithms for Misspecified Linear Markov Decision Processes. CoRR abs/2109.05546 (2021) - 2020
- [j56]Arjun Anand
Joint Scheduling of URLLC and eMBB Traffic in 5G Wireless Networks. IEEE/ACM Trans. Netw. 28(2): 477-490 (2020) - [c89]Ronshee Chawla, Abishek Sankararaman, Ayalvadi Ganesh, Sanjay Shakkottai:
The Gossiping Insert-Eliminate Algorithm for Multi-Agent Bandits. AISTATS 2020: 3471-3481 - [c88]Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam
Finite-Sample Analysis of Contractive Stochastic Approximation Using Smooth Convex Envelopes. NeurIPS 2020 - [c87]Liam Collins, Aryan Mokhtari, Sanjay Shakkottai:
Task-Robust Model-Agnostic Meta-Learning. NeurIPS 2020 - [c86]Matthew Faw, Rajat Sen, Karthikeyan Shanmugam
Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions. NeurIPS 2020 - [c85]Murat Kocaoglu, Sanjay Shakkottai, Alexandros G. Dimakis, Constantine Caramanis, Sriram Vishwanath:
Applications of Common Entropy for Causal Inference. NeurIPS 2020 - [c84]Abishek Sankararaman, Ayalvadi Ganesh, Sanjay Shakkottai:
Social Learning in Multi Agent Multi Armed Bandits. SIGMETRICS (Abstracts) 2020: 29-30 - [c83]Jianhan Song, Gustavo de Veciana, Sanjay Shakkottai:
Meta-Scheduling for the Wireless Downlink through Learning with Bandit Feedback. WiOpt 2020: 361-367 - [i48]Ronshee Chawla, Abishek Sankararaman, Ayalvadi Ganesh, Sanjay Shakkottai:
The Gossiping Insert-Eliminate Algorithm for Multi-Agent Bandits. CoRR abs/2001.05452 (2020) - [i47]Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam:
Finite-Sample Analysis of Stochastic Approximation Using Smooth Convex Envelopes. CoRR abs/2002.00874 (2020) - [i46]Liam Collins, Aryan Mokhtari, Sanjay Shakkottai:
Distribution-Agnostic Model-Agnostic Meta-Learning. CoRR abs/2002.04766 (2020) - [i45]Nihal Sharma, Soumya Basu, Karthikeyan Shanmugam, Sanjay Shakkottai:
Warm Starting Bandits with Side Information from Confounded Data. CoRR abs/2002.08405 (2020) - [i44]Soumya Basu, Orestis Papadigenopoulos, Constantine Caramanis, Sanjay Shakkottai:
Contextual Blocking Bandits. CoRR abs/2003.03426 (2020) - [i43]Ronshee Chawla, Abishek Sankararaman, Sanjay Shakkottai:
Multi-Agent Low-Dimensional Linear Bandits. CoRR abs/2007.01442 (2020) - [i42]Daniel Vial, Sanjay Shakkottai, R. Srikant:
Robust Multi-Agent Multi-Armed Bandits. CoRR abs/2007.03812 (2020) - [i41]Arghyadip Roy, Sanjay Shakkottai, R. Srikant:
Hellinger KL-UCB based Bandit Algorithms for Markovian and i.i.d. Settings. CoRR abs/2009.06606 (2020) - [i40]Liam Collins, Aryan Mokhtari, Sanjay Shakkottai:
Why Does MAML Outperform ERM? An Optimization Perspective. CoRR abs/2010.14672 (2020) - [i39]Advait Parulekar, Soumya Basu, Aditya Gopalan, Karthikeyan Shanmugam, Sanjay Shakkottai:
Stochastic Linear Bandits with Protected Subspace. CoRR abs/2011.01016 (2020) - [i38]Daniel Vial, Sanjay Shakkottai, R. Srikant:
One-bit feedback is sufficient for upper confidence bound policies. CoRR abs/2012.02876 (2020)
2010 – 2019
- 2019
- [j55]Abishek Sankararaman, Ayalvadi Ganesh
Social Learning in Multi Agent Multi Armed Bandits. Proc. ACM Meas. Anal. Comput. Syst. 3(3): 53:1-53:35 (2019) - [c82]Rajat Sen, Kirthevasan Kandasamy, Sanjay Shakkottai:
Noisy Blackbox Optimization using Multi-fidelity Queries: A Tree Search Approach. AISTATS 2019: 2096-2105 - [c81]Soumya Basu, Steven Gutstein, Brent Lance, Sanjay Shakkottai:
Pareto Optimal Streaming Unsupervised Classification. ICML 2019: 505-514 - [c80]Isfar Tariq, Rajat Sen, Gustavo de Veciana, Sanjay Shakkottai:
Online Channel-state Clustering And Multiuser Capacity Learning For Wireless Scheduling. INFOCOM 2019: 136-144 - [c79]Soumya Basu, Sanjay Shakkottai:
Switching Constrained Max-Weight Scheduling for Wireless Networks. INFOCOM 2019: 2314-2322 - [c78]Yi Zhang
Side-information-aided Noncoherent Beam Alignment Design for Millimeter Wave Systems. MobiHoc 2019: 341-350 - [c77]Soumya Basu, Rajat Sen, Sujay Sanghavi, Sanjay Shakkottai:
Blocking Bandits. NeurIPS 2019: 4785-4794 - [c76]Maurice Diesendruck, Ethan R. Elenberg, Rajat Sen, Guy W. Cole, Sanjay Shakkottai, Sinead A. Williamson:
Importance Weighted Generative Networks. ECML/PKDD (2) 2019: 249-265 - [i37]Matthew Faw, Rajat Sen, Karthikeyan Shanmugam, Constantine Caramanis, Sanjay Shakkottai:
Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions. CoRR abs/1907.10154 (2019) - [i36]Soumya Basu, Rajat Sen, Sujay Sanghavi, Sanjay Shakkottai:
Blocking Bandits. CoRR abs/1907.11975 (2019) - [i35]Abishek Sankararaman, Ayalvadi Ganesh, Sanjay Shakkottai:
Social Learning in Multi Agent Multi Armed Bandits. CoRR abs/1910.02100 (2019) - [i34]Negin Musavi, Dawei Sun, Sayan Mitra, Geir E. Dullerud, Sanjay Shakkottai:
Optimistic Optimization for Statistical Model Checking with Regret Bounds. CoRR abs/1911.01537 (2019) - 2018
- [j54]Eli A. Meirom
Detecting Cascades from Weak Signatures. IEEE Trans. Netw. Sci. Eng. 5(4): 313-325 (2018) - [j53]Avik Ray, Sujay Sanghavi, Sanjay Shakkottai:
Searching for a Single Community in a Graph. ACM Trans. Model. Perform. Evaluation Comput. Syst. 3(3): 13:1-13:17 (2018) - [j52]Soumya Basu
Adaptive TTL-Based Caching for Content Delivery. IEEE/ACM Trans. Netw. 26(3): 1063-1077 (2018) - [j51]Subhashini Krishnasamy
Augmenting Max-Weight With Explicit Learning for Wireless Scheduling With Switching Costs. IEEE/ACM Trans. Netw. 26(6): 2501-2514 (2018) - [c75]Rajat Sen, Karthikeyan Shanmugam
Contextual Bandits with Stochastic Experts. AISTATS 2018: 852-861 - [c74]Subhashini Krishnasamy, Ari Arapostathis, Ramesh Johari, Sanjay Shakkottai:
On Learning the cμ Rule in Single and Parallel Server Networks. Allerton 2018: 153-154 - [c73]Rajat Sen, Kirthevasan Kandasamy, Sanjay Shakkottai:
Multi-Fidelity Black-Box Optimization with Hierarchical Partitions. ICML 2018: 4545-4554 - [c72]Arjun Anand, Gustavo de Veciana, Sanjay Shakkottai:
Joint Scheduling of URLLC and eMBB Traffic in 5G Wireless Networks. INFOCOM 2018: 1970-1978 - [i33]Subhashini Krishnasamy, Ari Arapostathis, Ramesh Johari, Sanjay Shakkottai:
On Learning the cμ Rule: Single and Multiserver Settings. CoRR abs/1802.06723 (2018) - [i32]Rajat Sen, Karthikeyan Shanmugam, Sanjay Shakkottai:
Contextual Bandits with Stochastic Experts. CoRR abs/1802.08737 (2018) - [i31]Mikhail Kazdagli, Constantine Caramanis, Sanjay Shakkottai, Mohit Tiwari:
The Shape of Alerts: Detecting Malware Using Distributed Detectors by Robustly Amplifying Transient Correlations. CoRR abs/1803.00883 (2018) - [i30]Maurice Diesendruck, Ethan R. Elenberg, Rajat Sen, Guy W. Cole, Sanjay Shakkottai, Sinead A. Williamson:
Importance weighted generative networks. CoRR abs/1806.02512 (2018) - [i29]Avik Ray, Sujay Sanghavi, Sanjay Shakkottai:
Searching for a Single Community in a Graph. CoRR abs/1806.07944 (2018) - [i28]Murat Kocaoglu, Sanjay Shakkottai, Alexandros G. Dimakis, Constantine Caramanis, Sriram Vishwanath:
Entropic Latent Variable Discovery. CoRR abs/1807.10399 (2018) - [i27]Subhashini Krishnasamy, P. T. Akhil, Ari Arapostathis, Rajesh Sundaresan, Sanjay Shakkottai:
Augmenting Max-Weight with Explicit Learning for Wireless Scheduling with Switching Costs. CoRR abs/1808.01618 (2018) - [i26]Rajat Sen, Kirthevasan Kandasamy, Sanjay Shakkottai:
Noisy Blackbox Optimization with Multi-Fidelity Queries: A Tree Search Approach. CoRR abs/1810.10482 (2018) - 2017
- [j50]Avik Ray, Joe Neeman, Sujay Sanghavi, Sanjay Shakkottai:
The Search Problem in Mixture Models. J. Mach. Learn. Res. 18: 206:1-206:61 (2017) - [j49]Sharayu Moharir
Scheduling in Densified Networks: Algorithms and Performance. IEEE/ACM Trans. Netw. 25(1): 164-178 (2017) - [c71]Rajat Sen, Karthikeyan Shanmugam
Contextual Bandits with Latent Confounders: An NMF Approach. AISTATS 2017: 518-527 - [c70]Rajat Sen, Karthikeyan Shanmugam
Identifying Best Interventions through Online Importance Sampling. ICML 2017: 3057-3066 - [c69]Subhashini Krishnasamy, P. T. Akhil, Ari Arapostathis
Augmenting max-weight with explicit learning for wireless scheduling with switching costs. INFOCOM 2017: 1-9 - [c68]Rajat Sen, Ananda Theertha Suresh, Karthikeyan Shanmugam
Model-Powered Conditional Independence Test. NIPS 2017: 2951-2961 - [c67]Soumya Basu, Aditya Sundarrajan, Javad Ghaderi, Sanjay Shakkottai, Ramesh K. Sitaraman
Adaptive TTL-Based Caching for Content Delivery. SIGMETRICS (Abstracts) 2017: 45-46 - [i25]Rajat Sen, Karthikeyan Shanmugam, Alexandros G. Dimakis, Sanjay Shakkottai:
Causal Best Intervention Identification via Importance Sampling. CoRR abs/1701.02789 (2017) - [i24]Soumya Basu, Aditya Sundarrajan, Javad Ghaderi, Sanjay Shakkottai, Ramesh K. Sitaraman:
Adaptive TTL-Based Caching for Content Delivery. CoRR abs/1704.04448 (2017) - [i23]Mikhail Kazdagli, Constantine Caramanis, Sanjay Shakkottai, Mohit Tiwari:
Exploiting Latent Attack Semantics for Intelligent Malware Detection. CoRR abs/1708.01864 (2017) - [i22]Rajat Sen, Ananda Theertha Suresh, Karthikeyan Shanmugam, Alexandros G. Dimakis, Sanjay Shakkottai:
Model-Powered Conditional Independence Test. CoRR abs/1709.06138 (2017) - [i21]Arjun Anand, Gustavo de Veciana, Sanjay Shakkottai:
Joint Scheduling of URLLC and eMBB Traffic in 5G Wireless Networks. CoRR abs/1712.05344 (2017) - 2016
- [j48]Siddhartha Banerjee, Sujay Sanghavi, Sanjay Shakkottai:
Online Collaborative Filtering on Graphs. Oper. Res. 64(3): 756-769 (2016) - [j47]Javad Ghaderi, Sanjay Shakkottai, R. Srikant:
Scheduling Storms and Streams in the Cloud. ACM Trans. Model. Perform. Evaluation Comput. Syst. 1(4): 14:1-14:28 (2016) - [j46]Subhashini Krishnasamy, Rajat Sen, Sanjay Shakkottai, Sewoong Oh:
Detecting Sponsored Recommendations. ACM Trans. Model. Perform. Evaluation Comput. Syst. 2(1): 6:1-6:29 (2016) - [j45]Sharayu Moharir, Sujay Sanghavi, Sanjay Shakkottai
Online Load Balancing Under Graph Constraints. IEEE/ACM Trans. Netw. 24(3): 1690-1703 (2016) - [c66]Subhashini Krishnasamy, Rajat Sen, Ramesh Johari, Sanjay Shakkottai:
Regret of Queueing Bandits. NIPS 2016: 1669-1677 - [c65]Avik Ray, Sujay Sanghavi, Sanjay Shakkottai:
Searching For A Single Community in a Graph. SIGMETRICS 2016: 399-400 - [i20]Subhashini Krishnasamy, Rajat Sen, Ramesh Johari, Sanjay Shakkottai:
Regret of Queueing Bandits. CoRR abs/1604.06377 (2016) - [i19]Rajat Sen, Karthikeyan Shanmugam, Murat Kocaoglu, Alexandros G. Dimakis, Sanjay Shakkottai:
Latent Contextual Bandits: A Non-Negative Matrix Factorization Approach. CoRR abs/1606.00119 (2016) - [i18]Avik Ray, Joe Neeman, Sujay Sanghavi, Sanjay Shakkottai:
The Search Problem in Mixture Models. CoRR abs/1610.00843 (2016) - 2015
- [j44]Aditya Gopalan, Constantine Caramanis
Wireless scheduling with partial channel state information: large deviations and optimality. Queueing Syst. Theory Appl. 80(4): 293-340 (2015) - [j43]Sharayu Moharir
Serving content with unknown demand: the high-dimensional regime. Queueing Syst. Theory Appl. 81(2-3): 231-264 (2015) - [j42]Chris Milling, Constantine Caramanis
Distinguishing Infections on Different Graph Topologies. IEEE Trans. Inf. Theory 61(6): 3100-3120 (2015) - [j41]Avik Ray, Sujay Sanghavi, Sanjay Shakkottai
Improved Greedy Algorithms for Learning Graphical Models. IEEE Trans. Inf. Theory 61(6): 3457-3468 (2015) - [j40]Sharayu Moharir, Sanjay Shakkottai:
MaxWeight Versus BackPressure: Routing and Scheduling in Multichannel Relay Networks. IEEE/ACM Trans. Netw. 23(5): 1584-1598 (2015) - [c64]Chris Milling, Constantine Caramanis
Local detection of infections in heterogeneous networks. INFOCOM 2015: 1517-1525 - [c63]Javad Ghaderi, Sanjay Shakkottai
Scheduling Storms and Streams in the Cloud. SIGMETRICS 2015: 439-440 - [c62]Eli A. Meirom, Chris Milling, Constantine Caramanis
Localized Epidemic Detection in Networks with Overwhelming Noise. SIGMETRICS 2015: 441-442 - [c61]Subhashini Krishnasamy, Rajat Sen, Sewoong Oh, Sanjay Shakkottai
Detecting Sponsored Recommendations. SIGMETRICS 2015: 445-446 - [c60]Subhashini Krishnasamy, Sanjay Shakkottai:
Spectrum sharing and scheduling in D2D-enabled dense cellular networks. WiOpt 2015: 307-314 - [i17]Subhashini Krishnasamy, Siddhartha Banerjee, Sanjay Shakkottai:
The Behavior of Epidemics under Bounded Susceptibility. CoRR abs/1502.05096 (2015) - [i16]Javad Ghaderi, Sanjay Shakkottai, R. Srikant:
Scheduling Storms and Streams in the Cloud. CoRR abs/1502.05968 (2015) - [i15]Subhashini Krishnasamy, Rajat Sen, Sewoong Oh, Sanjay Shakkottai:
Detecting Sponsored Recommendations. CoRR abs/1504.03713 (2015) - 2014
- [j39]Shreeshankar Bodas, Sanjay Shakkottai
Scheduling in Multi-Channel Wireless Networks: Rate Function Optimality in the Small-Buffer Regime. IEEE Trans. Inf. Theory 60(2): 1101-1125 (2014) - [j38]Siddhartha Banerjee, Aditya Gopalan, Abhik Kumar Das, Sanjay Shakkottai
Epidemic Spreading With External Agents. IEEE Trans. Inf. Theory 60(7): 4125-4138 (2014) - [c59]Avik Ray, Javad Ghaderi, Sujay Sanghavi, Sanjay Shakkottai:
Overlap graph clustering via successive removal. Allerton 2014: 278-285 - [c58]Sharayu Moharir, Subhashini Krishnasamy, Sanjay Shakkottai:
Scheduling in densified networks: Algorithms and performance. Allerton 2014: 683-690 - [c57]Neelesh B. Mehta, Ramachandran Ramjee, Sanjay Shakkottai:
Message from TPC chairs. COMSNETS 2014: 1 - [c56]Siddhartha Banerjee, Avhishek Chatterjee
Epidemic thresholds with external agents. INFOCOM 2014: 2202-2210 - [c55]Subhashini Krishnasamy, Siddhartha Banerjee, Sanjay Shakkottai:
The behavior of epidemics under bounded susceptibility. SIGMETRICS 2014: 263-275 - [c54]Sharayu Moharir, Javad Ghaderi, Sujay Sanghavi, Sanjay Shakkottai:
Serving content with unknown demand: the high-dimensional regime. SIGMETRICS 2014: 435-447 - [c53]Avik Ray, Sujay Sanghavi, Sanjay Shakkottai:
Topic modeling from network spread. SIGMETRICS 2014: 561-562 - [e2]Sujay Sanghavi, Sanjay Shakkottai, Marc Lelarge, Bianca Schroeder:
ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS 2014, Austin, TX, USA, June 16-20, 2014. ACM 2014, ISBN 978-1-4503-2789-3 [contents] - [i14]Eli A. Meirom, Chris Milling, Constantine Caramanis, Shie Mannor, Ariel Orda, Sanjay Shakkottai:
Localized epidemic detection in networks with overwhelming noise. CoRR abs/1402.1263 (2014) - [i13]Aditya Gopalan, Constantine Caramanis, Sanjay Shakkottai:
Wireless Scheduling with Partial Channel State Information: Large Deviations and Optimality. CoRR abs/1405.6307 (2014) - [i12]Siddhartha Banerjee, Sujay Sanghavi, Sanjay Shakkottai:
Online Collaborative-Filtering on Graphs. CoRR abs/1411.2057 (2014) - [i11]Sharayu Moharir, Javad Ghaderi, Sujay Sanghavi, Sanjay Shakkottai:
Serving Content with Unknown Demand: the High-Dimensional Regime. CoRR abs/1412.6463 (2014) - 2013
- [j37]Aditya Gopalan, Constantine Caramanis
On the Value of Coordination and Delayed Queue Information in Multicellular Scheduling. IEEE Trans. Autom. Control. 58(6): 1443-1456 (2013) - [j36]Yuxin Chen, Sanjay Shakkottai
On the Role of Mobility for Multimessage Gossip. IEEE Trans. Inf. Theory 59(6): 3953-3970 (2013) - [j35]Xinzhou Wu, Saurabha Tavildar, Sanjay Shakkottai, Tom Richardson, Junyi Li, Rajiv Laroia, Aleksandar Jovicic:
FlashLinQ: A Synchronous Distributed Scheduler for Peer-to-Peer Ad Hoc Networks. IEEE/ACM Trans. Netw. 21(4): 1215-1228 (2013) - [c52]Sharayu Moharir, Sanjay Shakkottai:
MaxWeight vs. BackPressure: Routing and scheduling in multi-channel relay networks. INFOCOM 2013: 1537-1545 - [c51]Chris Milling, Constantine Caramanis
Detecting epidemics using highly noisy data. MobiHoc 2013: 177-186 - [c50]Sharayu Moharir, Sujay Sanghavi, Sanjay Shakkottai:
Online load balancing under graph constraints. SIGMETRICS 2013: 363-364 - [i10]Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai:
Distinguishing Infections on Different Graph Topologies. CoRR abs/1309.6545 (2013) - [i9]Siddhartha Banerjee, Avhishek Chatterjee, Sanjay Shakkottai:
Epidemic Thresholds with External Agents. CoRR abs/1312.0938 (2013) - 2012
- [j34]François Baccelli, Junyi Li, Thomas J. Richardson, Sanjay Shakkottai, Sundar Subramanian, Xinzhou Wu:
On optimizing CSMA for wide area ad hoc networks. Queueing Syst. Theory Appl. 72(1-2): 31-68 (2012) - [j33]Akula Aneesh Reddy, Siddhartha Banerjee, Aditya Gopalan, Sanjay Shakkottai, Lei Ying
On distributed scheduling with heterogeneously delayed network-state information. Queueing Syst. Theory Appl. 72(3-4): 193-218 (2012) - [j32]Siddhartha Banerjee, Piyush Gupta, Sanjay Shakkottai:
Towards a queueing-based framework for in-network function computation. Queueing Syst. Theory Appl. 72(3-4): 219-250 (2012) - [j31]Chang-Woo Yang, Adam Wierman, Sanjay Shakkottai, Mor Harchol-Balter
Many Flows Asymptotics for SMART Scheduling Policies. IEEE Trans. Autom. Control. 57(2): 376-391 (2012) - [j30]Lei Ying
Scheduling in Mobile Ad Hoc Networks With Topology and Channel-State Uncertainty. IEEE Trans. Autom. Control. 57(10): 2504-2517 (2012) - [j29]Aditya Gopalan, Constantine Caramanis
On Wireless Scheduling With Partial Channel-State Information. IEEE Trans. Inf. Theory 58(1): 403-420 (2012) - [j28]Jung Ryu, Lei Ying
Timescale Decoupled Routing and Rate Control in Intermittently Connected Networks. IEEE/ACM Trans. Netw. 20(4): 1138-1151 (2012) - [j27]Shreeshankar Bodas, Sanjay Shakkottai, Lei Ying
Low-Complexity Scheduling Algorithms for Multichannel Downlink Wireless Networks. IEEE/ACM Trans. Netw. 20(5): 1608-1621 (2012) - [c49]Chris Milling, Constantine Caramanis
On identifying the causative network of an epidemic. Allerton Conference 2012: 909-914 - [c48]Avik Ray, Sujay Sanghavi, Sanjay Shakkottai:
Greedy learning of graphical models with small girth. Allerton Conference 2012: 2024-2031 - [c47]François Baccelli, Nilesh Khude, Rajiv Laroia, Junyi Li, Tom Richardson, Sanjay Shakkottai, Saurabha Tavildar, Xinzhou Wu:
On the design of device-to-device autonomous discovery. COMSNETS 2012: 1-9 - [c46]Aneesh Reddy, Sujay Sanghavi, Sanjay Shakkottai:
On the effect of channel fading on greedy scheduling. INFOCOM 2012: 406-414 - [c45]Aditya Gopalan, Constantine Caramanis
Low-delay wireless scheduling with partial channel-state information. INFOCOM 2012: 1071-1079 - [c44]Chris Milling, Constantine Caramanis
Network forensics: random infection vs spreading epidemic. SIGMETRICS 2012: 223-234 - [e1]Asis Nasipuri, Yih-Chun Hu, Sanjay Shakkottai:
The Thirteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc '12, Hilton Head, SC, USA, June 11-14, 2012. ACM 2012, ISBN 978-1-4503-1281-3 [contents] - [i8]Aneesh Reddy, Sujay Sanghavi, Sanjay Shakkottai:
On the Effect of Channel Fading on Greedy Scheduling. CoRR abs/1203.1997 (2012) - [i7]Yuxin Chen, Sanjay Shakkottai, Jeffrey G. Andrews:
On the Role of Mobility for Multi-message Gossip. CoRR abs/1204.3114 (2012) - [i6]Siddhartha Banerjee, Aditya Gopalan, Abhik Kumar Das, Sanjay Shakkottai:
Epidemic Spreading with External Agents. CoRR abs/1206.3599 (2012) - 2011
- [j26]Jung Ryu, Lei Ying
On Efficient Data Transport with Mobile Carriers. IEEE J. Sel. Areas Commun. 29(10): 1991-2001 (2011) - [j25]Lei Ying
On Throughput Optimality With Delayed Network-State Information. IEEE Trans. Inf. Theory 57(8): 5116-5132 (2011) - [j24]Lei Ying
On combining shortest-path and back-pressure routing over multihop wireless networks. IEEE/ACM Trans. Netw. 19(3): 841-854 (2011) - [c43]Yuxin Chen, Sanjay Shakkottai, Jeffrey G. Andrews:
Sharing multiple messages over mobile networks. INFOCOM 2011: 658-666 - [c42]Aditya Gopalan, Siddhartha Banerjee, Abhik Kumar Das, Sanjay Shakkottai:
Random mobility and the spread of infection. INFOCOM 2011: 999-1007 - [c41]Shreeshankar Bodas, Sanjay Shakkottai, Lei Ying
Scheduling for small delay in multi-rate multi-channel wireless networks. INFOCOM 2011: 1251-1259 - [c40]Yi-Ting Chen, Constantine Caramanis
On file sharing over a wireless social network. ISIT 2011: 249-253 - [c39]Siddhartha Banerjee, Piyush Gupta, Sanjay Shakkottai:
Towards a queueing-based framework for in-network function computation. ISIT 2011: 2542-2546 - [c38]François Baccelli, Junyi Li, Thomas J. Richardson, Sundar Subramanian, Xinzhou Wu, Sanjay Shakkottai:
On optimizing CSMA for wide area ad-hoc networks. WiOpt 2011: 354-359 - [i5]Yi-Ting Chen, Constantine Caramanis, Sanjay Shakkottai:
On Sharing Viral Video over an Ad Hoc Wireless Network. CoRR abs/1101.5088 (2011) - [i4]Siddhartha Banerjee, Piyush Gupta, Sanjay Shakkottai:
Towards a Queueing-Based Framework for In-Network Function Computation. CoRR abs/1105.5651 (2011) - 2010
- [j23]Sundar Subramanian, Sanjay Shakkottai
Geographic routing with limited information in sensor networks. IEEE Trans. Inf. Theory 56(9): 4506-4519 (2010) - [j22]Sandeep Bhadra, Sanjay Shakkottai
Buffer Asymptotics for Coding Over Networks. IEEE Trans. Inf. Theory 56(12): 6159-6181 (2010) - [j21]Yung Yi, Gustavo de Veciana, Sanjay Shakkottai:
MAC Scheduling With Low Overheads by Learning Neighborhood Contention Patterns. IEEE/ACM Trans. Netw. 18(5): 1637-1650 (2010) - [c37]Xinzhou Wu, Saurabha Tavildar, Sanjay Shakkottai, Tom Richardson, Junyi Li, Rajiv Laroia, Aleksandar Jovicic:
FlashLinQ: A synchronous distributed scheduler for peer-to-peer ad hoc networks. Allerton 2010: 514-521 - [c36]Praneeth Netrapalli, Siddhartha Banerjee, Sujay Sanghavi, Sanjay Shakkottai:
Greedy learning of Markov network structure. Allerton 2010: 1295-1302 - [c35]Akula Aneesh Reddy, Siddhartha Banerjee, Aditya Gopalan, Sanjay Shakkottai, Lei Ying
Wireless scheduling with heterogeneously delayed network-state information. Allerton 2010: 1577-1584 - [c34]Jung Ryu, Lei Ying
Back-Pressure Routing for Intermittently Connected Networks. INFOCOM 2010: 306-310 - [c33]Shreeshankar Bodas, Sanjay Shakkottai, Lei Ying, R. Srikant:
Low-complexity Scheduling Algorithms for Multi-channel Downlink Wireless Networks. INFOCOM 2010: 2222-2230 - [c32]V. J. Venkataramanan, Xiaojun Lin, Lei Ying
On Scheduling for Minimizing End-to-End Buffer Usage over Multihop Wireless Networks. INFOCOM 2010: 2847-2855 - [c31]Jung Ryu, Vidur Bhargava, Nick Paine, Sanjay Shakkottai:
Back-pressure routing and rate control for ICNs. MobiCom 2010: 365-376
2000 – 2009
- 2009
- [j20]Yung Yi, Sanjay Shakkottai:
On the Elasticity of Marking Functions in an Integrated Network. IEEE Trans. Autom. Control. 54(2): 323-336 (2009) - [c30]Jung Ryu, Sandeep Bhadra, Sanjay Shakkottai:
TCP with feed-forward source coding for wireless downlink networks. Allerton 2009: 1307-1314 - [c29]Lei Ying, Sanjay Shakkottai, Aneesh Reddy:
On Combining Shortest-Path and Back-Pressure Routing Over Multihop Wireless Networks. INFOCOM 2009: 1674-1682 - [c28]Chris Milling, Sundar Subramanian, Sanjay Shakkottai, Randall Berry
Routing Over Multi-Hop Wireless Networks with Non-Ergodic Mobility. INFOCOM 2009: 2079-2087 - [c27]Lei Ying, Sanjay Shakkottai:
Scheduling in Mobile Ad Hoc Networks with Topology and Channel-State Uncertainty. INFOCOM 2009: 2347-2355 - [c26]Shreeshankar Bodas, Sanjay Shakkottai, Lei Ying
Scheduling in multi-channel wireless networks: rate function optimality in the small-buffer regime. SIGMETRICS/Performance 2009: 121-132 - 2008
- [j19]Jeffrey G. Andrews, Sanjay Shakkottai, Robert W. Heath Jr.
Rethinking information theory for mobile ad hoc networks. IEEE Commun. Mag. 46(12): 94-101 (2008) - [j18]Sanjay Shakkottai:
Effective Capacity and QoS for Wireless Scheduling. IEEE Trans. Autom. Control. 53(3): 749-761 (2008) - [j17]Sandeep Bhadra, Shreeshankar Bodas, Sanjay Shakkottai
Communication Through Jamming Over a Slotted ALOHA Channel. IEEE Trans. Inf. Theory 54(11): 5257-5262 (2008) - [j16]Sundar Subramanian, Sanjay Shakkottai, Ari Arapostathis:
Broadcasting in sensor networks: the role of local information. IEEE/ACM Trans. Netw. 16(5): 1133-1146 (2008) - [c25]Aneesh Reddy, Sanjay Shakkottai, Lei Ying:
Distributed power control in wireless ad hoc networks using message passing: Throughput optimality and network utility maximization. CISS 2008: 770-775 - [c24]Sundar Subramanian, Sanjay Shakkottai, Piyush Gupta:
Optimal Geographic Routing for Wireless Networks with Near-Arbitrary Holes and Traffic. INFOCOM 2008: 1328-1336 - [i3]Sandeep Bhadra, Shreeshankar Bodas, Sanjay Shakkottai, Sriram Vishwanath:
Communication Through Jamming over a Slotted ALOHA Channel. CoRR abs/0808.0558 (2008) - 2007
- [j15]Yung Yi, Sanjay Shakkottai:
FluNet: A hybrid internet simulator for fast queue regimes. Comput. Networks 51(18): 4919-4937 (2007) - [j14]Yung Yi, Sanjay Shakkottai:
Hop-by-hop congestion control over a wireless multi-hop network. IEEE/ACM Trans. Netw. 15(1): 133-144 (2007) - [c23]Chang-Woo Yang, Sanjay Shakkottai:
Balancing performance and fairness using finite-SRPT. CDC 2007: 5863-5869 - [c22]Yung Yi, Gustavo de Veciana, Sanjay Shakkottai:
On Optimal MAC Scheduling With Physical Interference. INFOCOM 2007: 294-302 - [c21]Sundar Subramanian, Sanjay Shakkottai, Piyush Gupta:
On Optimal Geographic Routing in Wireless Networks with Holes and Non-Uniform Traffic. INFOCOM 2007: 1019-1027 - [c20]Devavrat Shah, Sanjay Shakkottai:
Oblivious Routing with Mobile Fusion Centers over a Sensor Network. INFOCOM 2007: 1541-1549 - [c19]Sundar Subramanian, Piyush Gupta, Sanjay Shakkottai:
Scaling Bounds for Function Computation over Large Networks. ISIT 2007: 136-140 - [i2]Jeffrey G. Andrews, Nihar Jindal, Martin Haenggi, Randall Berry, Syed Ali Jafar, Dongning Guo, Sanjay Shakkottai, Robert W. Heath Jr., Michael J. Neely, Steven Weber, Aylin Yener:
Rethinking Information Theory for Mobile Ad Hoc Networks. CoRR abs/0712.2467 (2007) - 2006
- [j13]Wei Wu, Ari Arapostathis
Optimal power allocation for a time-varying wireless channel under heavy-traffic approximation. IEEE Trans. Autom. Control. 51(4): 580-594 (2006) - [j12]Chang-Woo Yang, Sanjay Shakkottai:
Asymptotic Evaluation of Delay in the SRPT Scheduler. IEEE Trans. Autom. Control. 51(11): 1848-1854 (2006) - [j11]Sandeep Bhadra, Sanjay Shakkottai
Min-Cost Selfish Multicast With Network Coding. IEEE Trans. Inf. Theory 52(11): 5077-5087 (2006) - [j10]Yung Yi, Supratim Deb, Sanjay Shakkottai:
Time-scale decomposition and equivalent rate-based marking. IEEE/ACM Trans. Netw. 14(5): 938-950 (2006) - [c18]Supratim Deb, Devavrat Shah, Sanjay Shakkottai:
Fast Matching Algorithms for Repetitive Optimization: An Application to Switch Scheduling. CISS 2006: 1266-1271 - [c17]Sandeep Bhadra, Sanjay Shakkottai:
Looking at Large Networks: Coding vs. Queueing. INFOCOM 2006 - [c16]Sundar Subramanian, Sanjay Shakkottai, Ari Arapostathis
Broadcasting in Sensor Networks: The Role of Local Information. INFOCOM 2006 - [c15]Sandeep Bhadra, Piyush Gupta, Sanjay Shakkottai:
On Network Coding for Interference Networks. ISIT 2006: 207-211 - [c14]Chang-Woo Yang, Adam Wierman, Sanjay Shakkottai, Mor Harchol-Balter
Tail asymptotics for policies favoring short jobs in a many-flows regime. SIGMETRICS/Performance 2006: 97-108 - [c13]Manish Airy, Sandeep Bhadra, Robert W. Heath Jr.
Transmit Precoding for the Multiple Antenna Broadcast Channel. VTC Spring 2006: 1396-1400 - 2005
- [j9]Sanjay Shakkottai, Rayadurgam Srikant, Ness B. Shroff:
Unreliable sensor grids: coverage, connectivity and diameter. Ad Hoc Networks 3(6): 702-716 (2005) - [j8]Supratim Deb, Sanjay Shakkottai, R. Srikant:
Asymptotic Behavior of Internet Congestion Controllers in a Many-Flows Regime. Math. Oper. Res. 30(2): 420-440 (2005) - [j7]Sanjay Shakkottai:
Asymptotics of search strategies over a sensor network. IEEE Trans. Autom. Control. 50(5): 594-606 (2005) - [c12]Sundar Subramanian, Sanjay Shakkottai:
Geographic routing with limited information in sensor networks. IPSN 2005: 269-276 - 2004
- [j6]Sanjay Shakkottai
Mean FDE Models for Internet Congestion Control Under a Many-Flows Regime. IEEE Trans. Inf. Theory 50(6): 1050-1072 (2004) - [c11]Chang-Woo Yang, Sanjay Shakkottai:
Delay asymptotics of the SRPT scheduler. CDC 2004: 2774-2779 - [c10]Manish Airy, Antonio Forenza, Robert W. Heath Jr.
Practical Costa precoding for the multiple antenna broadcast channel. GLOBECOM 2004: 3942-3946 - [c9]Sanjay Shakkottai:
Asymptotics of Query Strategies over a Sensor Network. INFOCOM 2004 - [c8]Yung Yi, Sanjay Shakkottai:
Hop-by-hop Congestion Control over a Wireless Multi-hop Network. INFOCOM 2004: 2548-2558 - [i1]Sundar Subramanian, Sanjay Shakkottai:
Geographic Routing with Limited Information in Sensor Networks. CoRR cs.IT/0411073 (2004) - 2003
- [j5]Sanjay Shakkottai, Theodore S. Rappaport
Cross-layer design for wireless networks. IEEE Commun. Mag. 41(10): 74-80 (2003) - [j4]Sanjay Shakkottai
Bounds on the throughput of congestion controllers in the presence of feedback delay. IEEE/ACM Trans. Netw. 11(6): 972-981 (2003) - [c7]Supratim Deb, Sanjay Shakkottai, R. Srikant:
Stability and Convergence of TCP-like Congestion Controllers in a Many-Flows Regime. INFOCOM 2003: 884-894 - [c6]Sanjay Shakkottai, R. Srikant, Ness B. Shroff:
Unreliable Sensor Grids: Coverage, Connectivity and Diameter. INFOCOM 2003: 1073-1083 - 2002
- [b1]Sanjay Shakkottai:
Resource Allocation for Quality of Service in a Heterogeneous Network. University of Illinois Urbana-Champaign, USA, 2002 - [j3]Sanjay Shakkottai, R. Srikant:
Scheduling Real-Time Traffic With Deadlines over a Wireless Channel. Wirel. Networks 8(1): 13-26 (2002) - [c5]Sanjay Shakkottai, Rayadurgam Srikant:
How Good are Deterministic Fluid Models of Internet Congestion Control? INFOCOM 2002: 497-505 - 2001
- [j2]Sanjay Shakkottai, R. Srikant:
Many-Sources Delay Asymptotics with Applications to Priority Queues. Queueing Syst. Theory Appl. 39(2/3): 183-200 (2001) - [j1]Sanjay Shakkottai
TCP performance over end-to-end rate control and stochastic available capacity. IEEE/ACM Trans. Netw. 9(4): 377-391 (2001) - [c4]Sanjay Shakkottai, Rayadurgam Srikant, Sean P. Meyn:
Boundedness of utility function based congestion controllers in the presence of delay. CDC 2001: 616-621 - [c3]Sanjay Shakkottai, R. Srikant:
Deterministic fluid models of congestion control in high-speed networks. WSC 2001: 1275-1281 - 2000
- [c2]Sanjay Shakkottai, R. Srikant:
Delay asymptotics for a priority queueing system. SIGMETRICS 2000: 188-195
1990 – 1999
- 1999
- [c1]Sanjay Shakkottai, R. Srikant:
Scheduling Real-Time Traffic with Deadlines over a Wireless Channel. WOWMOM 1999: 35-42
Coauthor Index
Alexandros G. Dimakis
aka: Alex Dimakis
aka: Alex Dimakis
Advait Parulekar
aka: Advait U. Parulekar
aka: Advait U. Parulekar
R. Srikant 0001
aka: Rayadurgam Srikant
aka: Rayadurgam Srikant
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