Gugan Thoppe - RankMe

46 papers A* 7A 1B 1Misc 1Journal 29Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Does DQN Learn? IEEE Trans. Autom. Control. Aditya Gopalan, Gugan Thoppe
2026	A*	`conf`	Parameter-free Optimal Rates for Nonlinear Semi-Norm Contractions with Applications to Q-Learning. AAAI Ankur Naskar, Gugan Thoppe, Vijay Gupta
2025	J	`jnl`	Parameter-Free Federated TD Learning with Markov Noise in Heterogeneous Environments. CoRR Ankur Naskar, Gugan Thoppe, Utsav Negi, Vijay Gupta
2025	J	`jnl`	Parameter-free Optimal Rates for Nonlinear Semi-Norm Contractions with Applications to CoRR Ankur Naskar, Gugan Thoppe, Vijay Gupta
2025	A*	`conf`	Policy Gradient with Tree Expansion. ICML Gal Dalal, Assaf Hallak, Gugan Thoppe, Shie Mannor, Gal Chechik
2025	J	`jnl`	Reliable Critics: Monotonic Improvement and Convergence Guarantees for Reinforcement Learning. CoRR Eshwar S. R, Gugan Thoppe, Aditya Gopalan, Gal Dalal
2025	J	`jnl`	Reliable Policy Iteration: Performance Robustness Across Architecture and Environment Perturbations. CoRR S. R. Eshwar, Aniruddha Mukherjee, Kintan Saha, Krishna Agarwal, Gugan Thoppe, Aditya Gopalan, Gal Dalal
2025	J	`jnl`	Sequential Attention-based Sampling for Histopathological Analysis. CoRR Tarun G, Naman Malpani, Gugan Thoppe, Sridharan Devarajan
2025	J	`jnl`	What Can Be Recovered Under Sparse Adversarial Corruption? Assumption-Free Theory for Linear Measurements. CoRR Vishal Halder, Alexandre Reiffers-Masson, Abdeldjalil Aïssa-El-Bey, Gugan Thoppe
2024	—	`conf`	Federated TD Learning in Heterogeneous Environments with Average Rewards: A Two-timescale Approach with Polyak-Ruppert Averaging. CDC Ankur Naskar, Gugan Thoppe, Abbasali Koochakzadeh, Vijay Gupta
2024	J	`jnl`	Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries. CoRR Swetha Ganesh, Jiayu Chen, Gugan Thoppe, Vaneet Aggarwal
2024	J	`jnl`	Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries. Trans. Mach. Learn. Res. Swetha Ganesh, Jiayu Chen, Gugan Thoppe, Vaneet Aggarwal
2024	B	`conf`	Online Learning of Weakly Coupled MDP Policies for Load Balancing and Auto Scaling. IFIP Networking S. R. Eshwar, Lucas Lopes Felipe, Alexandre Reiffers-Masson, Daniel Sadoc Menasché, Gugan Thoppe
2024	J	`jnl`	Online Learning of Weakly Coupled MDP Policies for Load Balancing and Auto Scaling. CoRR S. R. Eshwar, Lucas Lopes Felipe, Alexandre Reiffers-Masson, Daniel Sadoc Menasché, Gugan Thoppe
2024	—	`conf`	Reinforcement Learning with Quasi-Hyperbolic Discounting. CDC S. R. Eshwar, Mayank Motwani, Nibedita Roy, Gugan Thoppe
2024	J	`jnl`	Reinforcement Learning with Quasi-Hyperbolic Discounting. CoRR S. R. Eshwar, Mayank Motwani, Nibedita Roy, Gugan Thoppe
2024	A*	`conf`	Risk Estimation in a Markov Cost Process: Lower and Upper Bounds. ICML Gugan Thoppe, Prashanth L. A., Sanjay P. Bhat
2024	—	`conf`	Towards Optimizing Hyperledger Fabric Performance through Strategic Waiting. HIPCW Divya Pulivarthi, S. R. Eshwar, Gugan Thoppe, Kshitij Pratihast, Pavan Sollu, Tittu Varghese, Hrishikesh Nashikkar, Yogesh Simmhan
2023	A	`conf`	Does Momentum Help in Stochastic Optimization? A Sample Complexity Analysis. UAI Swetha Ganesh, Rohan Deb, Gugan Thoppe, Amarjit Budhiraja
2023	—	`conf`	Improving Sample Efficiency in Evolutionary RL Using Off-Policy Ranking. VALUETOOLS Eshwar S. R, Shishir Kolathaya, Gugan Thoppe
2023	J	`jnl`	Online Learning with Adversaries: A Differential Inclusion Analysis. CoRR Swetha Ganesh, Alexandre Reiffers-Masson, Gugan Thoppe
2023	—	`conf`	Online Learning with Adversaries: A Differential-Inclusion Analysis. CDC Swetha Ganesh, Alexandre Reiffers-Masson, Gugan Thoppe
2023	J	`jnl`	SoftTreeMax: Exponential Variance Reduction in Policy Gradient via Tree Search. CoRR Gal Dalal, Assaf Hallak, Gugan Thoppe, Shie Mannor, Gal Chechik
2023	J	`jnl`	VaR\ and CVaR Estimation in a Markov Cost Process: Lower and Upper Bounds. CoRR Sanjay Bhat, Prashanth L. A., Gugan Thoppe
2022	J	`jnl`	Approximate Q-learning and SARSA(0) under the ε-greedy Policy: a Differential Inclusion Analysis. CoRR Aditya Gopalan, Gugan Thoppe
2022	J	`jnl`	Improving Sample Efficiency in Evolutionary RL Using Off-Policy Ranking. CoRR Eshwar S. R, Shishir Kolathaya, Gugan Thoppe
2022	J	`jnl`	Online algorithms for estimating change rates of web pages. Perform. Evaluation Konstantin Avrachenkov, Kishor Patil, Gugan Thoppe
2021	A*	`conf`	A Law of Iterated Logarithm for Multi-Agent Reinforcement Learning. NeurIPS Gugan Thoppe, Bhumesh Kumar
2021	J	`jnl`	A Law of Iterated Logarithm for Multi-Agent Reinforcement Learning. CoRR Gugan Thoppe, Bhumesh Kumar
2021	J	`jnl`	Does Momentum Help? A Sample Complexity Analysis. CoRR Gugan Thoppe, Rohan Deb, Swetha Ganesh, Amarjit Budhiraja
2021	J	`jnl`	Scale Invariant Solutions for Overdetermined Linear Systems with Applications to Reinforcement Learning. CoRR Rahul Madhavan, Gugan Thoppe, Hemanta Makwana
2020	A*	`conf`	A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound. AAAI Gal Dalal, Balázs Szörényi, Gugan Thoppe
2020	—	`conf`	Change Rate Estimation and Optimal Freshness in Web Page Crawling. VALUETOOLS Konstantin Avrachenkov, Kishor Patil, Gugan Thoppe
2020	J	`jnl`	Change Rate Estimation and Optimal Freshness in Web Page Crawling. CoRR Konstantin Avrachenkov, Kishor Patil, Gugan Thoppe
2020	J	`jnl`	Online Algorithms for Estimating Change Rates of Web Pages. CoRR Konstantin Avrachenkov, Kishor Patil, Gugan Thoppe
2020	J	`jnl`	Randomly Weighted d-Complexes: Minimal Spanning Acycles and Persistence Diagrams. Electron. J. Comb. Primoz Skraba, Gugan Thoppe, D. Yogeshwaran
2019	J	`jnl`	A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound. CoRR Gal Dalal, Balázs Szörényi, Gugan Thoppe
2018	A*	`conf`	Finite Sample Analyses for TD(0) With Function Approximation. AAAI Gal Dalal, Balázs Szörényi, Gugan Thoppe, Shie Mannor
2018	A*	`conf`	Finite Sample Analysis of Two-Timescale Stochastic Approximation with Applications to Reinforcement Learning. COLT Gal Dalal, Gugan Thoppe, Balázs Szörényi, Shie Mannor
2017	J	`jnl`	Concentration Bounds for Two Timescale Stochastic Approximation with Applications to Reinforcement Learning. CoRR Gal Dalal, Balázs Szörényi, Gugan Thoppe, Shie Mannor
2017	J	`jnl`	Finite Sample Analysis for TD(0) with Linear Function Approximation. CoRR Gal Dalal, Balázs Szörényi, Gugan Thoppe, Shie Mannor
2016	Misc	`conf`	A concentration result for stochastic approximation (Extended abstract). ITA Gugan Thoppe, Vivek S. Borkar
2014	J	`jnl`	A stochastic Kaczmarz algorithm for network tomography. Autom. Gugan Thoppe, Vivek S. Borkar, D. Manjunath
2014	J	`jnl`	An Improved Block Coordinate Descent Method for Quadratic Programming in High Dimensions. CoRR Gugan Thoppe, Vivek S. Borkar, Dinesh Garg
2012	J	`jnl`	Generalized Network Tomography CoRR Gugan Thoppe
2012	—	`conf`	Generalized network tomography. Allerton Conference Gugan Thoppe