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Sarath Pattathil
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2020 – today
- 2024
- [j5]Daron Acemoglu, Alireza Fallah, Andrea Giometto, Daniel P. Huttenlocher, Asuman E. Ozdaglar, Francesca Parise, Sarath Pattathil:
Optimal adaptive testing for epidemic control: Combining molecular and serology tests. Autom. 160: 111391 (2024) - [c13]Brendan Lucier, Sarath Pattathil, Aleksandrs Slivkins, Mengxiao Zhang:
Autobidders with Budget and ROI Constraints: Efficiency, Regret, and Pacing Dynamics. COLT 2024: 3642-3643 - 2023
- [b1]Sarath Pattathil:
Optimization and Generalization of Minimax Algorithms. MIT, USA, 2023 - [c12]Sarath Pattathil, Kaiqing Zhang, Asuman E. Ozdaglar:
Symmetric (Optimistic) Natural Policy Gradient for Multi-Agent Learning with Parameter Convergence. AISTATS 2023: 5641-5685 - [c11]Asuman E. Ozdaglar, Sarath Pattathil, Jiawei Zhang, Kaiqing Zhang:
Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation. ICML 2023: 26769-26791 - [i17]Brendan Lucier, Sarath Pattathil, Aleksandrs Slivkins, Mengxiao Zhang:
Autobidders with Budget and ROI Constraints: Efficiency, Regret, and Pacing Dynamics. CoRR abs/2301.13306 (2023) - [i16]Daron Acemoglu, Asuman E. Ozdaglar, Sarath Pattathil:
Learning, Diversity and Adaptation in Changing Environments: The Role of Weak Links. CoRR abs/2305.00474 (2023) - 2022
- [j4]Vivek S. Borkar, Sarath Pattathil:
Whittle indexability in egalitarian processor sharing systems. Ann. Oper. Res. 317(2): 417-437 (2022) - [c10]Asuman E. Ozdaglar, Sarath Pattathil, Jiawei Zhang, Kaiqing Zhang:
What is a Good Metric to Study Generalization of Minimax Learners? NeurIPS 2022 - [i15]Asuman E. Ozdaglar, Sarath Pattathil, Jiawei Zhang, Kaiqing Zhang:
What is a Good Metric to Study Generalization of Minimax Learners? CoRR abs/2206.04502 (2022) - [i14]Sarath Pattathil, Kaiqing Zhang, Asuman E. Ozdaglar:
Symmetric (Optimistic) Natural Policy Gradient for Multi-agent Learning with Parameter Convergence. CoRR abs/2210.12812 (2022) - [i13]Asuman E. Ozdaglar, Sarath Pattathil, Jiawei Zhang, Kaiqing Zhang:
Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation. CoRR abs/2212.13861 (2022) - 2021
- [i12]Daron Acemoglu, Alireza Fallah, Andrea Giometto, Daniel P. Huttenlocher, Asuman E. Ozdaglar, Francesca Parise, Sarath Pattathil:
Optimal adaptive testing for epidemic control: combining molecular and serology tests. CoRR abs/2101.00773 (2021) - 2020
- [j3]Sarath Pattathil, Nikhil Karamchandani, Dhruti Shah:
Jordan centre in random trees: persistence and distance to root. J. Complex Networks 8(4) (2020) - [j2]Aryan Mokhtari, Asuman E. Ozdaglar, Sarath Pattathil:
Convergence Rate of 풪(1/k) for Optimistic Gradient and Extragradient Methods in Smooth Convex-Concave Saddle Point Problems. SIAM J. Optim. 30(4): 3230-3251 (2020) - [c9]Aryan Mokhtari, Asuman E. Ozdaglar, Sarath Pattathil:
A Unified Analysis of Extra-gradient and Optimistic Gradient Methods for Saddle Point Problems: Proximal Point Approach. AISTATS 2020: 1497-1507 - [c8]Alireza Fallah, Asuman E. Ozdaglar, Sarath Pattathil:
An Optimal Multistage Stochastic Gradient Method for Minimax Problems. CDC 2020: 3573-3579 - [c7]Noah Golowich, Sarath Pattathil, Constantinos Daskalakis, Asuman E. Ozdaglar:
Last Iterate is Slower than Averaged Iterate in Smooth Convex-Concave Saddle Point Problems. COLT 2020: 1758-1784 - [c6]Noah Golowich, Sarath Pattathil, Constantinos Daskalakis:
Tight last-iterate convergence rates for no-regret learning in multi-player games. NeurIPS 2020 - [i11]Noah Golowich, Sarath Pattathil, Constantinos Daskalakis, Asuman E. Ozdaglar:
Last Iterate is Slower than Averaged Iterate in Smooth Convex-Concave Saddle Point Problems. CoRR abs/2002.00057 (2020) - [i10]Alireza Fallah, Asuman E. Ozdaglar, Sarath Pattathil:
An Optimal Multistage Stochastic Gradient Method for Minimax Problems. CoRR abs/2002.05683 (2020) - [i9]Noah Golowich, Sarath Pattathil, Constantinos Daskalakis:
Tight last-iterate convergence rates for no-regret learning in multi-player games. CoRR abs/2010.13724 (2020)
2010 – 2019
- 2019
- [i8]Aryan Mokhtari, Asuman E. Ozdaglar, Sarath Pattathil:
A Unified Analysis of Extra-gradient and Optimistic Gradient Methods for Saddle Point Problems: Proximal Point Approach. CoRR abs/1901.08511 (2019) - [i7]Aryan Mokhtari, Asuman E. Ozdaglar, Sarath Pattathil:
Proximal Point Approximations Achieving a Convergence Rate of O(1/k) for Smooth Convex-Concave Saddle Point Problems: Optimistic Gradient and Extra-gradient Methods. CoRR abs/1906.01115 (2019) - [i6]Weijie Liu, Aryan Mokhtari, Asuman E. Ozdaglar, Sarath Pattathil, Zebang Shen, Nenggan Zheng:
A Decentralized Proximal Point-type Method for Saddle Point Problems. CoRR abs/1910.14380 (2019) - 2018
- [j1]Vivek S. Borkar, Gaurav S. Kasbekar, Sarath Pattathil, Priyesh Y. Shetty:
Opportunistic Scheduling as Restless Bandits. IEEE Trans. Control. Netw. Syst. 5(4): 1952-1961 (2018) - [c5]Vivek S. Borkar, Sarath Pattathil:
Concentration bounds for two time scale stochastic approximation. Allerton 2018: 504-511 - [c4]Sarath Pattathil, Nikhil Karamchandani, Dhruti Shah:
Persistence of the Jordan Center in Random Growing Trees. ASONAM 2018: 25-32 - 2017
- [c3]Konstantin E. Avrachenkov, Vivek S. Borkar, Sarath Pattathil:
Controlling G-AIMD by index policy. CDC 2017: 120-125 - [c2]Nuno K. Pratas, Sarath Pattathil, Cedomir Stefanovic, Petar Popovski:
Massive machine-type communication (mMTC) access with integrated authentication. ICC 2017: 1-6 - [c1]Sarath Pattathil, Jayakrishnan Nair:
Optimal distributed scheduling for single-hop wireless networks. WiOpt 2017: 1-8 - [i5]Vivek S. Borkar, Gaurav S. Kasbekar, Sarath Pattathil, Priyesh Y. Shetty:
Opportunistic Scheduling as Restless Bandits. CoRR abs/1706.09778 (2017) - [i4]Vivek S. Borkar, Sarath Pattathil:
Whittle Indexability in Egalitarian Processor Sharing Systems. CoRR abs/1707.02440 (2017) - [i3]Sarath Pattathil, Vivek S. Borkar, Gaurav S. Kasbekar:
Distributed Server Allocation for Content Delivery Networks. CoRR abs/1710.11471 (2017) - [i2]Sarath Pattathil, Nikhil Karamchandani, Dhruti Shah:
Persistence of the Jordan center in Random Growing Trees. CoRR abs/1712.08712 (2017) - 2016
- [i1]Nuno K. Pratas, Sarath Pattathil, Cedomir Stefanovic, Petar Popovski:
Massive Machine-Type Communication (mMTC) Access with Integrated Authentication. CoRR abs/1610.09849 (2016)
Coauthor Index
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last updated on 2024-08-29 21:01 CEST by the dblp team
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