52 citations · 52 across the 5 of their papers we have counts for
6 papers
Gaussian-Width Bounds for Offline-to-Online Linear Bandits
Kushagra Chandak, Volodymyr Tkachuk, Xiaoqi Tan +1
We study how offline data can help online learning in stochastic linear bandits. We focus on partially covered offline data, where only of the feature directions are poorly…
Offline-to-Online Learning in Linear Bandits
Kushagra Chandak, Toshinori Kitamura, Xiaoqi Tan
We study online learning with an additional offline dataset in the stochastic linear bandit setting. Although this problem arises frequently in practice, the offline-to-online trad…
Context-Action Embedding Learning for Off-Policy Evaluation in Contextual Bandits
Kushagra Chandak, Vincent Liu, Haanvid Lee
We consider off-policy evaluation (OPE) in contextual bandits with finite action space. Inverse Propensity Score (IPS) weighting is a widely used method for OPE due to its unbiased…
Regret Minimization via Saddle Point Optimization
Johannes Kirschner, Seyed Alireza Bakhtiari, Kushagra Chandak +2
A long line of works characterizes the sample complexity of regret minimization in sequential decision-making by min-max programs. In the corresponding saddle-point game, the min-p…
Combining Propositional Logic Based Decision Diagrams with Decision Making in Urban Systems
Jiajing Ling, Kushagra Chandak, Akshat Kumar
Solving multiagent problems can be an uphill task due to uncertainty in the environment, partial observability, and scalability of the problem at hand. Especially in an urban setti…
Hunting scalar leptoquarks with boosted tops and light leptons
Kushagra Chandak, Tanumoy Mandal, Subhadip Mitra
The LHC search strategies for leptoquarks that couple dominantly to a top quark are different than for the ones that couple mostly to the light quarks. We consider charge ($ϕ…