‪Gugan Thoppe | गुगन थोप्पे‬

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Gal DalalSr. Research Scientist, NvidiaVerified email at nvidia.com
Shie MannorProfessor of Electrical Engineering @ Technion & Researcher @ NvidiaVerified email at technion.ac.il
Balazs SzorenyiSr Research Scientist at Yahoo ResearchVerified email at yahooinc.com
Vivek BorkarIndian Institute of Technology BombayVerified email at ee.iitb.ac.in
Yogeshwaran DIndian Statistical InstituteVerified email at isibang.ac.in
Aditya GopalanIndian Institute of Science, BangaloreVerified email at iisc.ac.in
Swetha GaneshIndian Institute of ScienceVerified email at iisc.ac.in
Konstantin AvrachenkovDirector of Research, INRIA Sophia AntipolisVerified email at sophia.inria.fr
Kishor PatilSenior Manager, Data Science, Lowes IndiaVerified email at inria.fr
Primoz SkrabaQueen Mary University of LondonVerified email at qmul.ac.uk
Dinesh GargIBM India Research Lab, Bangalore, IndiaVerified email at in.ibm.com
Robert AdlerEmeritus Professor, Electrical Engineering, TechnionVerified email at technion.ac.il
Alexandre Reiffers-MassonAssociate Prof, IMT AtlantiqueVerified email at imt-atlantique.fr
Amarjit BudhirajaUniversity of North Carolina at Chapel HillVerified email at email.unc.edu
Rohan DebUniversity of Illinois at Urbana ChampaignVerified email at illinois.edu
D ManjunathElectrical Engineering IIT BombayVerified email at ee.iitb.ac.in
Gennady SamorodnitskyCornell UniversityVerified email at cornell.edu
Takashi OwadaPurdue UniversityVerified email at purdue.edu
Assaf HallakNVIDIA ResearchVerified email at nvidia.com
Gal ChechikNVIDIA, Bar Ilan UniversityVerified email at biu.ac.il

Gugan Thoppe | गुगन थोप्पे

Other namesGugan Thoppe, Gugan Chandrashekar Thoppe

Asst. Prof., Computer Science, Indian Institute of Science | भारतीय विज्ञान संस्थान

Verified email at iisc.ac.in - Homepage

Stochastic Approximation Learning Algorithms Random Topology


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Finite Sample Analyses for TD (0) with Function Approximation G Dalal, B Szörényi, G Thoppe, S Mannor AAAI Conference on Artificial Intelligence 32, 6144-6160, 2018	206	2018
Finite Sample Analysis of Two-timescale Stochastic Approximation with Applications to Reinforcement Learning G Dalal, B Szörényi, G Thoppe, S Mannor Conference On Learning Theory 31, 1199-1233, 2018	148	2018
A Tale of Two-timescale Reinforcement Learning with the Tightest Finite-time Bound G Dalal, B Szorenyi, G Thoppe AAAI Conference on Artificial Intelligence 34 (04), 3701-3708, 2020	57	2020
A Concentration Bound for Stochastic Approximation via Alekseev’s Formula G Thoppe, V Borkar Stochastic Systems 9 (1), 1-26, 2019	55*	2019
Randomly Weighted complexes: Minimal Spanning Acycles and Persistence Diagrams P Skraba, G Thoppe, D Yogeshwaran Electronic Journal of Combinatorics 27 (2), 1-47, 2020	38	2020
Online Algorithms for Estimating Change Rates of Web Pages K Avrachenkov, K Patil, G Thoppe Performance Evaluation 153, 1-21, 2022	13*	2022
A stochastic Kaczmarz algorithm for network tomography G Thoppe, V Borkar, D Manjunath Automatica 50 (3), 910-914, 2014	13	2014
Limit theorems for topological invariants of the dynamic multi-parameter simplicial complex T Owada, G Samorodnitsky, G Thoppe Stochastic Processes and their Applications 138, 56-95, 2021	11	2021
Change rate estimation and optimal freshness in Web page crawling K Avrachenkov, K Patil, G Thoppe EAI Valuetools Conference on Performance Evaluation Methodologies and Tools …, 2020	10	2020
On the Evolution of Topology in Dynamic Clique Complexes G Thoppe, D Yogeshwaran, R Adler Advances in Applied Probability 48 (4), 989-1014, 2016	10	2016
Greedy block coordinate descent (GBCD) method for high dimensional quadratic programs G Thoppe, VS Borkar, D Garg arXiv preprint arXiv:1404.6635, 2014	7	2014
Does DQN Learn? A Gopalan, G Thoppe arXiv preprint arXiv:2205.13617, 2025	6*	2025
Does Momentum Help in Stochastic Optimization? A Sample Complexity Analysis S Ganesh, R Deb, G Thoppe, A Budhiraja Uncertainty in Artificial Intelligence (UAI), 39, 2023	6*	2023
Betti numbers of Gaussian excursions in the sparse regime G Thoppe, SR Krishnan arXiv preprint arXiv:1807.11018, 2018	6	2018
Online Learning with Adversaries: A Differential Inclusion Analysis S Ganesh, A Reiffers-Masson, G Thoppe 62nd IEEE Conference on Decision and Control (CDC), 2023	4	2023
The Shadow Knows: Empirical Distributions of Minimal Spanning Acycles and Persistence Diagrams of Random Complexes N Fraiman, S Mukherjee, G Thoppe Discrete Analysis, 2023	3*	2023
A Law of Iterated Logarithm for Multi-agent Reinforcement Learning G Thoppe, B Kumar Advances in Neural Information Processing Systems (Neurips) 34, 2021	3	2021
Generalized network tomography G Thoppe Allerton Conference on Communication, Control, and Computing 50, 762-769, 2012	3	2012
Policy Gradient with Tree Expansion G Dalal, A Hallak, G Thoppe, S Mannor, G Chechik	2*	2023
Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries S Ganesh, J Chen, G Thoppe, V Aggarwal Transactions on Machine Learning Research, 2024	1	2024

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