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Eshwar, SR and Felipe, LL and Reiffers-Masson, A and Menasche, DS and Thoppe, G (2024) Online Learning of Weakly Coupled MDP Policies for Load Balancing and Auto Scaling. In: 23rd International Federation for Information Processing on Networking Conference, IFIP Networking 2024, 3 June 2024 through 6 June 2024, Thessaloniki, Greece., pp. 496-501.
Ganesh, S and Deb, R and Thoppe, G and Budhiraja, A (2023) Does Momentum Help in Stochastic Optimization? A Sample Complexity Analysis. In: 39th Conference on Uncertainty in Artificial Intelligence, UAI 2023, 31 July - 4 August 2023, Pittsburgh, pp. 602-612.
Naskar, A and Thoppe, G (2023) Convergence of Momentum-based Distributed Stochastic Approximation with RL Applications. In: UNSPECIFIED, pp. 178-179.
Ganesh, S and Reiffers-Masson, A and Thoppe, G (2023) Online Learning with Adversaries: A Differential-Inclusion Analysis. In: UNSPECIFIED, pp. 1288-1293.
Thoppe, G and Kumar, B (2021) A Law of Iterated Logarithm for Multi-Agent Reinforcement Learning. In: 7th Indian Control Conference, ICC 2021, 20 - 22 December 2021, Mumbai, India, pp. 19-20.
Avrachenkov, K and Patil, K and Thoppe, G (2020) Change Rate Estimation and Optimal Freshness in Web Page Crawling. In: 13th EAI International Conference on Performance Evaluation Methodologies and Tools, VALUETOOLS 2020, 18-20 May 2020, Tsukuba; Japan, pp. 3-10.
Avrachenkov, K and Patil, K and Thoppe, G (2022) Online algorithms for estimating change rates of web pages. In: Performance Evaluation, 153 .
Owada, T and Samorodnitsky, G and Thoppe, G (2021) Limit theorems for topological invariants of the dynamic multi-parameter simplicial complex. In: Stochastic Processes and their Applications, 138 . pp. 56-95.
Skraba, P and Thoppe, G and Yogeshwaran, D (2020) Randomly weighted d-complexes: Minimal spanning acycles and Persistence diagrams. In: Electronic Journal of Combinatorics, 27 (2).
