Pattathil, Sarath

1. A Unified Analysis of Extra-gradient and Optimistic Gradient Methods for Saddle Point Problems: Proximal Point Approach
   2019/01/24 by Aryan Mokhtari, Asuman Ozdaglar, Mokhtari, Aryan +3 · 20 citations
   Computer Science · Engineering · Mathematics · #Advanced Optimization Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
2. Tight last-iterate convergence rates for no-regret learning in multi-player games
   2020/10/26 by Noah Golowich, Sarath Pattathil, Golowich, Noah +3 · 6 citations
   Computer Science · Decision Sciences · #Adaptive Dynamic Programming Control #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Reinforcement Learning in Robotics
3. Opportunistic Scheduling as Restless Bandits
   2017/06/29 by Borkar, Vivek S., Kasbekar, Gaurav S., Pattathil, Sarath +1 · 3 citations
   #FOS: Electrical engineering #Systems and Control (eess.SY) #electronic engineering #information engineering
4. Offline Reinforcement Learning via Linear-Programming with Error-Bound Induced Constraints
   2022/12/28 by Asuman Ozdaglar, Sarath Pattathil, Ozdaglar, Asuman +5 · 3 citations
   Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Reinforcement Learning in Robotics
5. A Decentralized Proximal Point-type Method for Saddle Point Problems
   2019/10/31 by Liu, Weijie, Mokhtari, Aryan, Ozdaglar, Asuman +3 · 2 citations
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
6. Last Iterate is Slower than Averaged Iterate in Smooth Convex-Concave Saddle Point Problems
   2020/01/31 by Golowich, Noah, Pattathil, Sarath, Daskalakis, Constantinos +1 · 2 citations
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
7. Autobidders with Budget and ROI Constraints: Efficiency, Regret, and Pacing Dynamics
   2023/01/30 by Brendan Lucier, Sarath Pattathil, Lucier, Brendan +5 · 2 citations
   Business, Management and Accounting · Decision Sciences · #Advanced Bandit Algorithms Research #Auction Theory and Applications #Computer Science and Game Theory (cs.GT) #Consumer Market Behavior and Pricing #FOS: Computer and information sciences #Machine Learning (cs.LG)
8. Whittle Indexability in Egalitarian Processor Sharing Systems
   2017/07/08 by Borkar, Vivek S., Pattathil, Sarath · 1 citation
   #FOS: Electrical engineering #Systems and Control (eess.SY) #electronic engineering #information engineering
9. What is a Good Metric to Study Generalization of Minimax Learners?
   2022/06/09 by Asuman Ozdaglar, Sarath Pattathil, Ozdaglar, Asuman +5 · 1 citation
   Computer Science · Engineering · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
10. Learning, Diversity and Adaptation in Changing Environments: The Role of Weak Links
    2023/04/30 by Acemoglu, Daron, Ozdaglar, Asuman, Pattathil, Sarath · 1 citation
    #FOS: Computer and information sciences #FOS: Economics and business #Social and Information Networks (cs.SI) #Theoretical Economics (econ.TH)