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Articles by Sarath Pattathil

Autobidders with Budget and ROI Constraints: Efficiency, Regret, and Pacing Dynamics
12 June 2024 by Brendan Lucier and others
Computer Science and Game Theory, Machine Learning
Learning, Diversity and Adaptation in Changing Environments: The Role of Weak Links
30 April 2023 by Daron Acemoglu and others
Social and Information Networks, Theoretical Economics
Symmetric (Optimistic) Natural Policy Gradient for Multi-agent Learning with Parameter Convergence
20 March 2023 by Sarath Pattathil and others
Optimization and Control, Machine Learning
Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation
8 February 2023 by Asuman Ozdaglar and others
Machine Learning, Optimization and Control
Botrytis cinerea infection accelerates ripening and cell wall disassembly to promote disease in tomato fruit
2 September 2022 by Christian Silva and others at LogoUC Davis
Plant Biology
What is a Good Metric to Study Generalization of Minimax Learners?
20 June 2022 by Asuman Ozdaglar and others
Machine Learning, Optimization and Control
Arabidopsis cell wall composition determines disease resistance specificity and fitness
28 January 2021 by Axel Molina and others
Plant Biology
Optimal adaptive testing for epidemic control: combining molecular and serology tests
4 January 2021 by D. Acemoglu and others
Systems and Control, Dynamical Systems
Tight last-iterate convergence rates for no-regret learning in multi-player games
26 October 2020 by Noah Golowich and others
Machine Learning, Optimization and Control
Last Iterate is Slower than Averaged Iterate in Smooth Convex-Concave Saddle Point Problems
7 July 2020 by Noah Golowich and others at LogoMIT
Machine Learning, Optimization and Control
Compensatory guaiacyl lignin biosynthesis at the expense of syringyl lignin in 4CL1-knockout poplar
6 March 2020 by Chih-Jung Tsai and others at LogoUniversity of Georgia
Plant Biology
An Optimal Multistage Stochastic Gradient Method for Minimax Problems
13 February 2020 by Alireza Fallah and others
Optimization and Control, Machine Learning
A Decentralized Proximal Point-type Method for Saddle Point Problems
31 October 2019 by Weijie Liu and others
Optimization and Control, Machine Learning
Convergence Rate of \mathcal{O}(1/k) for Optimistic Gradient and Extra-gradient Methods in Smooth Convex-Concave Saddle Point Problems
10 July 2019 by Aryan Mokhtari and others
Optimization and Control, Machine Learning
A Unified Analysis of Extra-gradient and Optimistic Gradient Methods for Saddle Point Problems: Proximal Point Approach
9 April 2019 by Aryan Mokhtari and others
Optimization and Control, Machine Learning
Persistence of the Jordan center in Random Growing Trees
21 October 2018 by Sarath Pattathil and others
Social and Information Networks, Data Structures and Algorithms
Concentration bounds for two time scale stochastic approximation
28 June 2018 by Vivek Borkar and Sarath Pattathil
Optimization and Control
Distributed Server Allocation for Content Delivery Networks
21 November 2017 by Sarath Pattathil and others
Performance, Systems and Control
Whittle Indexability in Egalitarian Processor Sharing Systems
13 July 2017 by Vivek Borkar and Sarath Pattathil
Systems and Control
Opportunistic Scheduling as Restless Bandits
30 June 2017 by Vivek Borkar and others
Systems and Control
Massive Machine-Type Communication (mMTC) Access with Integrated Authentication
15 March 2017 by Nuno Pratas and others
Information Theory