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Sai Ganesh Nagarajan
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2020 – today
- 2024
- [c13]Étienne Bamas, Sai Ganesh Nagarajan, Ola Svensson:
Analyzing Dα seeding for k-means. ICML 2024 - [i9]Alexandros Hollender, Gilbert Maystre, Sai Ganesh Nagarajan:
The Complexity of Two-Team Polymatrix Games with Independent Adversaries. CoRR abs/2409.07398 (2024) - 2023
- [c12]Sai Ganesh Nagarajan, Gerasimos Palaiopanos, Ioannis Panageas, Tushar Vaidya, Samson Yu:
Mean Estimation of Truncated Mixtures of Two Gaussians: A Gradient Based Approach. AAAI 2023: 9260-9267 - [c11]Marina Drygala, Sai Ganesh Nagarajan, Ola Svensson:
Online Algorithms with Costly Predictions. AISTATS 2023: 8078-8101 - [i8]Étienne Bamas, Sai Ganesh Nagarajan, Ola Svensson:
An Analysis of $D^α$ seeding for $k$-means. CoRR abs/2310.13474 (2023) - 2021
- [j6]Gareth W. Peters, Ido Nevat, Sai Ganesh Nagarajan, Tomoko Matsui:
Spatial Warped Gaussian Processes: Estimation and Efficient Field Reconstruction. Entropy 23(10): 1323 (2021) - [c10]Qi Lei, Sai Ganesh Nagarajan, Ioannis Panageas, Xiao Wang:
Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes. AISTATS 2021: 1441-1449 - [c9]Arnab Bhattacharyya, Rathin Desai, Sai Ganesh Nagarajan, Ioannis Panageas:
Efficient Statistics for Sparse Graphical Models from Truncated Samples. AISTATS 2021: 1450-1458 - [i7]James P. Bailey, Sai Ganesh Nagarajan, Georgios Piliouras:
Stochastic Multiplicative Weights Updates in Zero-Sum Games. CoRR abs/2110.02134 (2021) - 2020
- [c8]Sai Ganesh Nagarajan, Ioannis Panageas:
On the Analysis of EM for truncated mixtures of two Gaussians. ALT 2020: 634-659 - [c7]Sai Ganesh Nagarajan, David Balduzzi, Georgios Piliouras:
Robust Self-organization in Games: Symmetries, Conservation Laws and Dimensionality Reduction. AAMAS 2020: 1946-1948 - [c6]Vaggos Chatziafratis, Sai Ganesh Nagarajan, Ioannis Panageas, Xiao Wang:
Depth-Width Trade-offs for ReLU Networks via Sharkovsky's Theorem. ICLR 2020 - [c5]Vaggos Chatziafratis, Sai Ganesh Nagarajan, Ioannis Panageas:
Better depth-width trade-offs for neural networks through the lens of dynamical systems. ICML 2020: 1469-1478 - [c4]Sai Ganesh Nagarajan, David Balduzzi, Georgios Piliouras:
From Chaos to Order: Symmetry and Conservation Laws in Game Dynamics. ICML 2020: 7186-7196 - [i6]Qi Lei, Sai Ganesh Nagarajan, Ioannis Panageas, Xiao Wang:
Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes. CoRR abs/2002.06768 (2020) - [i5]Vaggos Chatziafratis, Sai Ganesh Nagarajan, Ioannis Panageas:
Better Depth-Width Trade-offs for Neural Networks through the lens of Dynamical Systems. CoRR abs/2003.00777 (2020) - [i4]Arnab Bhattacharyya, Rathin Desai, Sai Ganesh Nagarajan, Ioannis Panageas:
Efficient Statistics for Sparse Graphical Models from Truncated Samples. CoRR abs/2006.09735 (2020)
2010 – 2019
- 2019
- [j5]Yan-Bin Chen, Ido Nevat
, Pengfei Zhang
Query-Based Sensors Selection for Collaborative Wireless Sensor Networks With Stochastic Energy Harvesting. IEEE Internet Things J. 6(2): 3031-3043 (2019) - [i3]Sai Ganesh Nagarajan, Ioannis Panageas:
On the Convergence of EM for truncated mixtures of two Gaussians. CoRR abs/1902.06958 (2019) - [i2]Vaggos Chatziafratis, Sai Ganesh Nagarajan, Ioannis Panageas, Xiao Wang:
Depth-Width Trade-offs for ReLU Networks via Sharkovsky's Theorem. CoRR abs/1912.04378 (2019) - 2018
- [j4]Ido Nevat, Dinil Mon Divakaran
Anomaly Detection and Attribution in Networks With Temporally Correlated Traffic. IEEE/ACM Trans. Netw. 26(1): 131-144 (2018) - [c3]Sai Ganesh Nagarajan, Sameh Mohamed, Georgios Piliouras:
Three Body Problems in Evolutionary Game Dynamics: Convergence, Periodicity and Limit Cycles. AAMAS 2018: 685-693 - [c2]Tie Luo
Distributed Anomaly Detection Using Autoencoder Neural Networks in WSN for IoT. ICC 2018: 1-6 - [c1]Ido Nevat, Sai Ganesh Nagarajan, Pengfei Zhang:
Change Detection of a Subset of High-Dimensional Time Series Data in Sensor Networks. VTC Spring 2018: 1-5 - [i1]Tie Luo, Sai G. Nagarajan:
Distributed Anomaly Detection using Autoencoder Neural Networks in WSN for IoT. CoRR abs/1812.04872 (2018) - 2017
- [j3]Sai Ganesh Nagarajan
Geo-Spatial Location Estimation for Internet of Things (IoT) Networks With One-Way Time-of-Arrival via Stochastic Censoring. IEEE Internet Things J. 4(1): 205-214 (2017) - [j2]Pengfei Zhang, Sai Ganesh Nagarajan, Ido Nevat
Secure Location of Things (SLOT): Mitigating Localization Spoofing Attacks in the Internet of Things. IEEE Internet Things J. 4(6): 2199-2206 (2017) - 2015
- [j1]Wai Hong Ronald Chan
Adaptive Duty Cycling in Sensor Networks With Energy Harvesting Using Continuous-Time Markov Chain and Fluid Models. IEEE J. Sel. Areas Commun. 33(12): 2687-2700 (2015)
Coauthor Index
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