32 citations · 42 across the 8 of their papers we have counts for
12 papers
Uncertainty Informed Optimal Resource Allocation with Gaussian Process based Bayesian Inference
Samarth Gupta, Saurabh Amin
We focus on the problem of uncertainty informed allocation of medical resources (vaccines) to heterogeneous populations for managing epidemic spread. We tackle two related question…
Bayesian regularization of empirical MDPs
Samarth Gupta, Daniel N. Hill, Lexing Ying +1
In most applications of model-based Markov decision processes, the parameters for the unknown underlying model are often estimated from the empirical data. Due to noise, the policy…
Approximate Newton policy gradient algorithms
Haoya Li, Samarth Gupta, Hsiangfu Yu +2
Policy gradient algorithms have been widely applied to Markov decision processes and reinforcement learning problems in recent years. Regularization with various entropy functions…
Best-Arm Identification in Correlated Multi-Armed Bandits
Samarth Gupta, Gauri Joshi, Osman Yağan
In this paper we consider the problem of best-arm identification in multi-armed bandits in the fixed confidence setting, where the goal is to identify, with probability for s…
Bandit-based Communication-Efficient Client Selection Strategies for Federated Learning
Yae Jee Cho, Samarth Gupta, Gauri Joshi +1
Due to communication constraints and intermittent client availability in federated learning, only a subset of clients can participate in each training round. While most prior works…
Integer Programming-based Error-Correcting Output Code Design for Robust Classification
Samarth Gupta, Saurabh Amin
Error-Correcting Output Codes (ECOCs) offer a principled approach for combining simple binary classifiers into multiclass classifiers. In this paper, we investigate the problem of…
Multi-Armed Bandits with Correlated Arms
Samarth Gupta, Shreyas Chaudhari, Gauri Joshi +1
We consider a multi-armed bandit framework where the rewards obtained by pulling different arms are correlated. We develop a unified approach to leverage these reward correlations…
Real-Time Predictive Control Strategy Optimization
Samarth Gupta, Ravi Seshadri, Bilge Atasoy +4
Traffic congestion has lead to an increasing emphasis on management measures for a more efficient utilization of existing infrastructure. In this context, this paper proposes a nov…
A Unified Approach to Translate Classical Bandit Algorithms to the Structured Bandit Setting
Samarth Gupta, Shreyas Chaudhari, Subhojyoti Mukherjee +2
We consider a finite-armed structured bandit problem in which mean rewards of different arms are known functions of a common hidden parameter . Since we do not place any restr…
Active Distribution Learning from Indirect Samples
Samarth Gupta, Gauri Joshi, Osman Yağan
This paper studies the problem of {\em learning} the probability distribution of a discrete random variable using indirect and sequential samples. At each time step, we c…
Correlated Multi-armed Bandits with a Latent Random Source
Samarth Gupta, Gauri Joshi, Osman Yağan
We consider a novel multi-armed bandit framework where the rewards obtained by pulling the arms are functions of a common latent random variable. The correlation between arms due t…
Request Patterns and Caching for VoD Services with Recommendation Systems
Samarth Gupta, Sharayu Moharir
Video on Demand (VoD) services like Netflix and YouTube account for ever increasing fractions of Internet traffic. It is estimated that this fraction will cross 80% in the next thr…