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57th Allerton Conference 2019: Monticello, IL, USA
- 57th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2019, Monticello, IL, USA, September 24-27, 2019. IEEE 2019, ISBN 978-1-7281-3151-1
- Kyriakos G. Vamvoudakis
, Aris Kanellopoulos:
Non-Equilibrium Learning and Cyber-Physical Security. 1-6 - Xuan Wang, Shaoshuai Mou, Shreyas Sundaram:
Resilience for Consensus-based Distributed Algorithms in Hostile Environment†. 7 - Jie Fu:
Opportunistic Synthesis in Reactive Games under Information Asymmetry. 8 - Amir Behrouzi-Far, Emina Soljanin
Redundancy Scheduling in Systems with Bi-Modal Job Service Time Distributions. 9-16 - Jing Li, Dongning Guo:
On Analysis of the Bitcoin and Prism Backbone Protocols in Synchronous Networks. 17-24 - Max Noormohammadpour, Ajitesh Srivastava, Cauligi S. Raghavendra:
Optimizing Inter-Datacenter Tail Flow Completion Times using Best Worst-case Routing. 25-31 - Yunhan Huang, Veeraruna Kavitha, Quanyan Zhu:
Continuous-Time Markov Decision Processes with Controlled Observations. 32-39 - Farhang Bayat, Shuangqing Wei:
Information Bottleneck Problem Revisited. 40-47 - Muhammad Royyan, Mikko Vehkaperä
Adaptive Coded Modulation for Stabilization of Wireless Networked Control Systems over Binary Erasure Channels. 48-55 - Michael S. Bullock
Fundamental Limits of Quantum-Secure Covert Communication over Bosonic Channels. 56-63 - Jonathan Ponniah
Flow Decomposition. 64-71 - Jonathan Ponniah
On Compress-Forward Schemes for Relay Networks. 72-78 - Tolga Ergen, Mert Pilanci:
Convex Optimization for Shallow Neural Networks. 79-83 - Vincent Roulet, Zaïd Harchaoui:
An Elementary Approach to Convergence Guarantees of Optimization Algorithms for Deep Networks. 84-91 - Kenji Kawaguchi, Jiaoyang Huang:
Gradient Descent Finds Global Minima for Generalizable Deep Neural Networks of Practical Sizes. 92-99 - Souvik Kundu
pSConv: A Pre-defined S parse Kernel Based Convolution for Deep CNNs. 100-107 - Arya Mazumdar, Ankit Singh Rawat:
Learning and Recovery in the ReLU Model. 108-115 - Rumia Sultana, Rémi A. Chou
Explicit Low-complexity Codes for Multiple Access Channel Resolvability. 116-123 - Ahmed H. Hareedy
Asymmetric LOCO Codes: Constrained Codes for Flash Memories. 124-131 - Karthik Nagarjuna Tunuguntla, Paul H. Siegel:
Slepian-Wolf Polar Coding with Unknown Correlation. 132-139 - Yuanyuan Tang, Farzad Farnoud Hassanzadeh:
Error-correcting Codes for Noisy Duplication Channels. 140-146 - Shubham Chandak
Improved read/write cost tradeoff in DNA-based data storage using LDPC codes. 147-156 - Brendan Badia, Randall Berry
Renewable generation investment with differentiated downstream competition. 157-164 - Bernard C. Lesieutre, Julia Lindberg
On the Distribution of Real-Valued Solutions to the Power Flow Equations. 165-170 - Kursat Rasim Mestav, Lang Tong:
Learning the Unobservable: High-Resolution State Estimation via Deep Learning. 171-176 - Moustafa Ebada, Sebastian Cammerer, Ahmed Elkelesh, Stephan ten Brink:
Deep Learning-Based Polar Code Design. 177-183 - Anant Sahai, Joshua Sanz, Vignesh Subramanian, Caryn Tran, Kailas Vodrahalli:
Learning to Communicate with Limited Co-design. 184-191 - Boris Karanov
Deep Learning for Communication over Dispersive Nonlinear Channels: Performance and Comparison with Classical Digital Signal Processing. 192-199 - Eric Lei, Oscar Castañeda
Siamese Neural Networks for Wireless Positioning and Channel Charting. 200-207 - Mounia Hamidouche, Laura Cottatellucci, Konstantin Avrachenkov
Spectral Analysis of the Adjacency Matrix of Random Geometric Graphs. 208-214 - Swapnil Shinde, Jukka Ranta, Paul Deitrick, Matthew Malloy:
Scalable PaneI Fusion Using Distributed Min Cost FIow. 215-221 - Kasra Koorehdavoudi, Sandip Roy:
Graph-Theoretic Analyses of MIMO Channels in Diffusive Networks. 222-229 - Aquib Mustafa, Hamidreza Modares:
Attack Analysis for Discrete-time Distributed Multi-Agent Systems. 230-237 - Themistoklis Charalambous
Privacy-Preserving Average Consensus over Digraphs in the Presence of Time Delays. 238-245 - Burak Bartan, Mert Pilanci:
Distributed Black-Box optimization via Error Correcting Codes. 246-252 - Adarsh M. Subramaniam, Anoosheh Heidarzadeh, Krishna R. Narayanan:
Random Khatri-Rao-Product Codes for Numerically-Stable Distributed Matrix Multiplication. 253-259 - Yucheng Liu, Parastoo Sadeghi
From Alignment to Acyclic Chains: Lexicographic Performance Bounds for Index Coding. 260-267 - Yousef AlHassoun
Efficient Coded Caching with Limited Memory. 268-275 - Burak Bartan, Mert Pilanci:
Straggler Resilient Serverless Computing Based on Polar Codes. 276-283 - Mohammad Fahim, Viveck R. Cadambe
Lagrange Coded Computing with Sparsity Constraints. 284-289 - Taposh Banerjee, Prudhvi Gurram, Gene T. Whipps:
A Sequential Detection Theory for Statistically Periodic Random Processes. 290-297 - Andre Beckus, George K. Atia:
A Sequential and Scalable Approach to Community Detection in Dynamic Graphs. 298-302 - Tomer Sery, Kobi Cohen:
A Sequential Gradient-Based Multiple Access for Distributed Learning over Fading Channels. 303-307 - Line A. Roald, Daniel K. Molzahn:
Implied Constraint Satisfaction in Power System optimization: The Impacts of Load Variations. 308-315 - Hancheng Min
Accurate Reduced Order Models for Coherent Synchronous Generators. 316-317 - Panagiotis Andrianesis
Optimal Grid - Distributed Energy Resource Coordination: Distribution Locational Marginal Costs and Hierarchical Decomposition. 318-325 - Dominic Groß
Projected grid-forming control for current-limiting of power converters. 326-333 - Ashish Kothyari, Stephen Tordoff, Christopher David, Ryozo Nagamune, Yu Christine Chen:
Optimal Operation of Sanitary Pump Stations with Energy Storage During Power Outages. 334-338 - Charikleia Iakovidou, Ermin Wei:
Nested Distributed Gradient Methods with Stochastic Computation Errors. 339-346 - Tomer Gafni, Kobi Cohen:
A Distributed Stable Strategy Learning Algorithm for Multi-User Dynamic Spectrum Access. 347-351 - Alexander J. Gabourie, Mohammad Rostami, Phillip E. Pope, Soheil Kolouri, Kyungnam Kim:
Learning a Domain-Invariant Embedding for Unsupervised Domain Adaptation Using Class-Conditioned Distribution Alignment. 352-359 - Md Mahfuzur Rahman, Daniel L. Pimentel-Alarcón:
GLIMPS: A Greedy Mixed-Integer Approach for Super Robust Matched Subspace Detection. 360-367 - Sinho Chewi, Forest Yang, Avishek Ghosh, Abhay Parekh, Kannan Ramchandran:
Matching Observations to Distributions: Efficient Estimation via Sparsified Hungarian Algorithm. 368-375 - Rajat Talak, Sertac Karaman, Eytan H. Modiano:
A Theory of Uncertainty Variables for State Estimation and Inference. 376-383 - Hsu Kao
Convergence Rate Analysis for Distributed Optimization with Localization. 384-390 - Han Wang, Mahyar Fazlyab
Robust Convergence Analysis of Three-Operator Splitting. 391-398 - Thinh T. Doan, Justin Romberg:
Linear Two-Time-Scale Stochastic Approximation A Finite-Time Analysis. 399-406 - Zai Shi, Atilla Eryilmaz:
Cubic Regularized ADMM with Convergence to a Local Minimum in Non-convex Optimization. 407-414 - Nirupam Gupta
Byzantine Fault-Tolerant Parallelized Stochastic Gradient Descent for Linear Regression. 415-420 - Mehmet Necip Kurt
Sequential Model-Free Anomaly Detection for Big Data Streams. 421-425 - Namjoon Suh, Ruizhi Zhang, Yajun Mei:
Adaptive Online Monitoring of the Ising model. 426-431 - Sattar Vakili
Stochastic Gradient Descent on a Tree: an Adaptive and Robust Approach to Stochastic Convex Optimization. 432-438 - Carmel Fiscko, Soummya Kar
Learning Transition Statistics in Networks of Interacting Agents. 439-445 - Israel Donato Ridgley, Randy A. Freeman, Kevin M. Lynch:
Simple, Private, and Accurate Distributed Averaging. 446-452 - Pei Peng, Nikolas Melissaris, Emina Soljanin
Straggling for Covert Message Passing on Complete Graphs. 453-459 - Yihao Hu, Ari Trachtenberg, Prakash Ishwar:
Collaborative Privacy for Web Applications. 460-469 - Braden C. Soper:
A Cyber-Nuclear Deterrence Game. 470-479 - Ali Behfarnia
Local Voting Games for Misbehavior Detection in VANETs in Presence of Uncertainty. 480-486 - Nazanin Takbiri, Xiaozhe Shao, Lixin Gao, Hossein Pishro-Nik:
Improving Privacy in Graphs Through Node Addition. 487-494 - Ardhendu Tripathy
Privacy-Preserving Adversarial Networks. 495-505 - Zhaosen Wang, Jean Honorio
Reconstructing a Bounded-Degree Directed Tree Using Path Queries. 506-513 - Yashas Malur Saidutta
Joint Source-Channel Coding of Gaussian sources over AWGN channels via Manifold Variational Autoencoders. 514-520 - Felip Riera-Palou, Guillem Femenias:
Decentralization Issues in Cell-free Massive MIMO Networks with Zero-Forcing Precoding. 521-527 - Ahmed Arafa, Roy D. Yates, H. Vincent Poor:
Timely Cloud Computing: Preemption and Waiting. 528-535 - Nitin Jain, Adrish Banerjee:
On Performance Analysis and Code Design for Visible Light Communication. 536-543 - Xiaowen You, Youlong Wu, Jiahui Chen:
Cache-Aided Broadcast Channels with User Cooperation. 544-551 - Nasser Aldaghri
Threshold-Secure Coding with Shared Key. 552-559 - Mark A. Graham, Ayalvadi Ganesh, Robert J. Piechocki:
Sparse Random Linear Network Coding For Low Latency Allcast. 560-564 - Jakob Hansen, Robert Ghrist:
Distributed Optimization with Sheaf Homological Constraints. 565-571 - Ramya Burra
Offline and Online Scheduling of Jobs with Service and Delay Costs. 572-579 - Wann-Jiun Ma, Jakub Marecek
A Fine-Grained Variant of the Hierarchy of Lasserre. 580-586 - Elie Atallah, Nazanin Rahnavard, Chinwendu Enyioha:
Distributed Asynchronous Random Projection Algorithm (DARPA) with Arbitrary Uniformly Bounded Delay. 587-594 - Brian Swenson, Ryan W. Murray, H. Vincent Poor, Soummya Kar
Distributed Gradient Descent: Nonconvergence to Saddle Points and the Stable-Manifold Theorem. 595-601 - Vaishakhi Mayya, Galen Reeves:
Mutual Information in Community Detection with Covariate Information and Correlated Networks. 602-607 - Esmaeil Karimi, Fatemeh Kazemi, Anoosheh Heidarzadeh, Krishna R. Narayanan, Alex Sprintson:
Non-adaptive Quantitative Group Testing Using Irregular Sparse Graph Codes. 608-614 - Xiang Huang, Jack H. Lutz, Andrei N. Migunov
Algorithmic Randomness in Continuous-Time Markov Chains. 615-622 - Bowen Song, Ari Trachtenberg:
Scalable String Reconciliation by Recursive Content-Dependent Shingling. 623-630 - Adam R. Williamson:
The Impacts of Additive Noise and 1-bit Quantization on the Correlation Coefficient in the Low-SNR Regime. 631-638 - Veeraruna Kavitha, Mayank Maheshwari, Eitan Altman:
Acquisition Games with Partial-Asymmetric Information. 639-646 - Guanze Peng, Quanyan Zhu:
Game-Theoretic Analysis of Optimal Control and Sampling for Linear Stochastic Systems. 647-654 - Nasimeh Heydaribeni, Ilai Bistritz, Achilleas Anastasopoulos:
Informational cascades can be avoided with non-myopic agents. 655-662 - Bai Liu
Reinforcement Learning for Optimal Control of Queueing Systems. 663-670 - Manxi Wu, Saurabh Amin:
Information Design for Regulating Traffic Flows under Uncertain Network State. 671-678 - Abdullah Basar Akbay
Data Collection from Privacy-Aware Users in the Presence of Social Learning. 679-686 - Hariharan Narayanan, Steven Weber:
Sum throughput on a random access erasure collision channel. 687-694 - Dengwang Tang, Vijay G. Subramanian
Derandomized Asymmetrical Balanced Allocation. 695-697 - Alexander Schaub, Olivier Rioul, Joseph J. Boutros:
Entropy Estimation of Physically Unclonable Functions via Chow Parameters. 698-704 - Carlos A. Barreto, Xenofon D. Koutsoukos:
Attacks on Electricity Markets. 705-711 - Mehdi Hosseinzadeh, Bruno Sinopoli, Emanuele Garone
Feasibility and Detection of Replay Attack in Networked Constrained Cyber-Physical Systems. 712-717 - Yusuke Kawamoto
Local Distribution Obfuscation via Probability Coupling*. 718-725 - Chengzhuo Ni, Lin F. Yang
Learning to Control in Metric Space with Optimal Regret. 726-733 - Hiteshi Sharma, Rahul Jain
An Approximately Optimal Relative Value Learning Algorithm for Averaged MDPs with Continuous States and Actions. 734-740 - Ajin George Joseph, Shalabh Bhatnagar
Stochastic Approximation Trackers for Model-Based Search. 741-748 - Adithya M. Devraj, Ana Busic, Sean P. Meyn:
On Matrix Momentum Stochastic Approximation and Applications to Q-learning. 749-756 - Hangjin Liu, You Joe Zhou, Ahmad Beirami, Dror Baron:
Nonlinear Function Estimation with Empirical Bayes and Approximate Message Passing. 757-764 - Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis:
Sharp Guarantees for Solving Random Equations with One-Bit Information. 765-772 - Diego Goldsztajn, Fernando Paganini, Andrés Ferragut:
Proximal optimization for resource allocation in distributed computing systems with data locality. 773-780 - Yujie Tang
Distributed Zero-Order Algorithms for Nonconvex Multi-Agent optimization. 781-786 - Dan Wu, Bin Wang:
Influence of Load Models on Equilibria, Stability and Algebraic Manifolds of Power System Differential-Algebraic System. 787-795 - Marija Ilic, Rupamathi Jaddivada:
Toward technically feasible and economically efficient integration of distributed energy resources. 796-803 - Yanbing Mao, Emrah Akyol
On Network Topology Inference of Social Networks. 804-809 - Tianran Chen, Jakub Marecek
Three Formulations of the Kuramoto Model as a System of Polynomial Equations. 810-815 - Hamidreza Tavafoghi, Akhil Shetty, Kameshwar Poolla, Pravin Varaiya:
Strategic Information Platforms in Transportation Networks. 816-823 - Jiaxiao Zheng, Gustavo de Veciana:
Modeling and optimization of Human-Machine Interaction Processes via the Maximum Entropy Principle. 824-831 - Neha Chohan, Mohammad A. Nazari, Henk Wymeersch
Robust trajectory planning of autonomous vehicles at intersections with communication impairments. 832-839 - Lewis Tseng:
Eventual Consensus: Applications to Storage and Blockchain : (Extended Abstract). 840-846 - Rahul Singh, Gopal Krishna Kamath, P. R. Kumar:
Optimal Information Updating based on Value of Information. 847-854 - Haritha K, Chandramani Singh:
Scheduling Policies for Minimizing Job Migration and Server Running Costs for Cloud Computing Platforms. 855-862 - Jayanth Regatti, Gaurav Tendolkar, Yi Zhou, Abhishek Gupta, Yingbin Liang:
Distributed SGD Generalizes Well Under Asynchrony. 863-870 - Mina Karzand, Robert D. Nowak:
Maximin Active Learning with Data-Dependent Norms. 871-878 - Xiangxiang Xu, Shao-Lun Huang:
On the Asymptotic Sample Complexity of HGR Maximal Correlation Functions in Semi-supervised Learning. 879-886 - Nir Weinberger, Meir Feder:
k-vectors: An Alternating Minimization Algorithm for Learning Regression Functions. 887-894 - Jaewoong Cho, Changho Suh
Wasserstein GAN Can Perform PCA. 895-901 - Daniel Vial, Vijay G. Subramanian
Local Non-Bayesian Social Learning with Stubborn Agents*. 902-903 - Devavrat Shah, Christina Lee Yu:
Iterative Collaborative Filtering for Sparse Noisy Tensor Estimation. 904-909 - Yimeng Wang, Yongbo Li, Tian Lan, Vaneet Aggarwal
Deep Q-Learning for Chunk-based Caching in Data Processing Networks. 910-916 - Qi Xiao, Zhengdao Wang
Mixture of Deep Neural Networks for Instancewise Feature Selection. 917-921 - Fabrizio Carpi
Reinforcement Learning for Channel Coding: Learned Bit-Flipping Decoding. 922-929 - Qing Li, Yang Chen
Learning to Compress Using Deep AutoEncoder. 930-936 - Claudio Gambella, Jakub Marecek
Projections onto the Set of Feasible Inputs and the Set of Feasible Solutions. 937-943 - Ayca Ermis, Yen-Pang Lai, Xinhai Pan, Ruizhi Chai, Ying Zhang:
Recursive Subspace Identification for Online Thermal Management of Implantable Devices. 944-949 - Ho-Lim Choi, Jacob Hammer:
Sampled-Data Systems: Maximal Sampling Period. 950-957 - Ping-Yen Yang, Shun-Pin Hsu, Chin-Hsuan Tsai:
Minimum Laplacian controllability of graphs based on interconnecting two classes of threshold graphs. 958-964 - Brendon G. Anderson, Somayeh Sojoudi:
Global Optimality Guarantees for Nonconvex Unsupervised Video Segmentation. 965-972 - Konstantinos Sotiropoulos, John W. Byers, Polyvios Pratikakis, Charalampos E. Tsourakakis:
TwitterMancer: Predicting User Interactions on Twitter. 973-980 - Philip N. Brown
A Tragedy of Autonomy. self-driving cars and urban congestion externalities. 981-986 - Alejandro Cohen, Nir Shlezinger
Serial Quantization for Representing Sparse Signals. 987-994 - Sichen Zhong, Yue Zhao, Jianshu Chen:
Learning to Recover Sparse Signals. 995-1000 - Konstantin Avrachenkov
A learning algorithm for the Whittle index policy for scheduling web crawlers. 1001-1006 - Taha Ameen ur Rahman, Shayok Mukhopadhyay
A Novel Expression for Computing Time Response of LTI Systems of Arbitrary Order with Applications to Fractional and Stochastic Control. 1007-1014 - Zhe Xu, Federico M. Zegers, Bo Wu, Warren E. Dixon
Controller Synthesis for Multi-Agent Systems With Intermittent Communication. A Metric Temporal Logic Approach. 1015-1022 - Vladyslav Bivziuk, Vitalii Slyn'ko:
Comparison principle for linear differential equations with periodic impulsive action. 1023-1029 - Mihaela R. Cistelecan:
State space homogenization in hybrid dynamical systems with two subsystems. 1030-1037 - Bahram Shafai, Anahita Moradmand
Observer-based Controller Design for Systems with Derivative Inputs. 1038-1044 - Ethan King, Hien T. Tran:
A Relaxed Projection Control in the Context of Inverse Optimal Control for Discrete Nonlinear Systems. 1045-1051 - Truong X. Nghiem
Fast Gaussian Process based Model Predictive Control with Uncertainty Propagation. 1052-1059 - Mehrdad Tahmasbi, Matthieu R. Bloch:
Covert Communication with Unknown Code at the Warden. 1060-1067 - James Melbourne, Mokshay Madiman, Murti V. Salapaka:
Relationships between certain f -divergences. 1068-1073 - Michail Mylonakis, Photios A. Stavrou, Mikael Skoglund:
Empirical Coordination with Multiple Descriptions. 1074-1081 - Xinchun Yu, Shuangqing Wei, Yuan Luo:
One-shot achievability and converse bounds of Gaussian random coding in AWGN channels under covert constraint. 1082-1089 - Nian Guo
Optimal Causal Rate-Constrained Sampling of the Wiener Process. 1090-1097 - Fatemeh Kazemi, Esmaeil Karimi, Anoosheh Heidarzadeh, Alex Sprintson:
Private Information Retrieval with Private Coded Side Information: The Multi-Server Case. 1098-1104 - Linghui Zhou, Minh Thanh Vu, Tobias J. Oechtering, Mikael Skoglund:
Fundamental Limits for Biometric Identification Systems without Privacy Leakage. 1105-1112 - Mohit Agarwal, Raghupathy Sivakumar:
Blink: A Fully Automated Unsupervised Algorithm for Eye-Blink Detection in EEG Signals. 1113-1121 - Abdi-Hakin Dirie, Abubakar Abid, James Y. Zou:
Contrastive Multivariate Singular Spectrum Analysis. 1122-1127 - George V. Moustakides, Feeby Salib, Kalliopi Basioti:
Adaptive Blind Separation of Two Dependent Sources. 1128-1135 - Catherine Medlock, Alan V. Oppenheim, Isaac Chuang, Qi Ding:
Operating Characteristics for Binary Hypothesis Testing in Quantum Systems. 1136-1145 - Igor Bjelakovic, Matthias Frey
Distributed Approximation of Functions over Fast Fading Channels with Applications to Distributed Learning and the Max-Consensus Problem. 1146-1153 - Hang Zhang, Afshin Abdi, Faramarz Fekri
Recovering Noisy-Pseudo-Sparse Signals From Linear Measurements via l∞. 1154-1159 - Vishrant Tripathi
A Whittle Index Approach to Minimizing Functions of Age of Information. 1160-1167 - Ramkumar Raghu, Pratheek Upadhyaya, Mahadesh Panju, Vaneet Aggarwal, Vinod Sharma:
Deep Reinforcement Learning Based Power Control for Wireless Multicast Systems. 1168-1175 - Shakil Ahmed, Boulat A. Bash:
Average Worst-Case Secrecy Rate Maximization via UAV and Base Station Resource Allocation. 1176-1181 - Felix Fellhauer, Stephan ten Brink, Nabil Sven Loghin:
Capacity of mmWave MIMO-Systems Using a Wideband Indoor Channel Model. 1182-1189 - Ahmad AlAmmouri, Jeffrey G. Andrews, François Baccelli:
Stability of Wireless Random Access Systems. 1190-1197 - Haoyue Tang
Scheduling to Minimize Age of Information in Multi-State Time-Varying Networks with Power Constraints. 1198-1205
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