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Articles by
Vivek Borkar
The ODE Method for Asymptotic Statistics in Stochastic Approximation and Reinforcement Learning
15 November 2024 by
Vivek Borkar
and
others
Statistics Theory
,
Machine Learning
Tabular and Deep Learning for the Whittle Index
4 June 2024 by
Francisco Robledo Relaño
and
others
at
Inria
Artificial Intelligence
,
Machine Learning
An Asymptotic CVaR Measure of Risk for Markov Chains
22 May 2024 by
Shivam Patel
and
Vivek Borkar
Risk Management
,
Computational Finance
Remarks on Differential Inclusion limits of Stochastic Approximation
1 September 2023 by
Vivek Borkar
and
Dhruv Shah
Probability
Functional Central Limit Theorem for Two Timescale Stochastic Approximation
9 June 2023 by
Fathima Zarin Faizal
and
Vivek Borkar
Probability
,
Statistics Theory
Full Gradient Deep Reinforcement Learning for Average-Reward Criterion
7 April 2023 by
Tejas Pagare
and
others
Systems and Control
,
Machine Learning
A Concentration Bound for Distributed Stochastic Approximation
9 October 2022 by
Harsh Dolhare
and
Vivek Borkar
Machine Learning
,
Probability
Concentration bounds for SSP Q-learning for average cost MDPs
12 June 2022 by
Shaan Haque
and
Vivek Borkar
Machine Learning
,
Optimization and Control
Maximizing Conditional Entropy for Batch-Mode Active Learning of Perceptual Metrics
16 February 2021 by
Priyadarshini Kumari
and
others
Machine Learning
,
Computer Vision and Pattern Recognition
Online Reinforcement Learning of Optimal Threshold Policies for Markov Decision Processes
4 January 2021 by
Arghyadip Roy
and
others
Machine Learning
Opinion shaping in social networks using reinforcement learning
19 October 2019 by
Vivek Borkar
and
Alexandre Reiffers-Masson
Social and Information Networks
,
Machine Learning
A Structure-aware Online Learning Algorithm for Markov Decision Processes
28 November 2018 by
Arghyadip Roy
and
others
Machine Learning
Bounds for Tracking Error in Constant Stepsize Stochastic Approximation
11 May 2018 by
Bhumesh Kumar
and
others
Signal Processing
On the fastest finite Markov processes
29 August 2016 by
Vivek Borkar
and
Laurent Miclo
at
IMT
Probability
Approachability in Stackelberg Stochastic Games with Vector Costs
20 June 2016 by
Dileep Kalathil
and
others
Machine Learning
,
Computer Science and Game Theory
Parallel and Distributed Approaches for Graph Based Semi-supervised Learning
4 September 2015 by
Konstantin Avrachenkov
and
others
Machine Learning
Whittle Index Policy for Crawling Ephemeral Content
30 March 2015 by
Konstantin Avrachenkov
and
Vivek Borkar
Information Retrieval
,
Systems and Control
Model-based clock synchronization protocol for wireless sensor networks
27 November 2013 by
Nikolaos Freris
and
others
Networking and Internet Architecture
Quasi-stationary distributions as centrality measures of reducible graphs
8 August 2007 by
Konstantin Avrachenkov
and
others
Networking and Internet Architecture