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Sublinear Optimal Policy Value Estimation in Contextual Bandits
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Sublinear Optimal Policy Value Estimation in Contextual Bandits

Weihao Kong
Gregory Valiant
Emma Brunskill
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Papers citing "Sublinear Optimal Policy Value Estimation in Contextual Bandits"

8 / 8 papers shown
Title
Estimating Optimal Policy Value in General Linear Contextual Bandits
Estimating Optimal Policy Value in General Linear Contextual Bandits
Jonathan Lee
Weihao Kong
Aldo Pacchiano
Vidya Muthukumar
Emma Brunskill
56
0
0
19 Feb 2023
Bounded (O(1)) Regret Recommendation Learning via Synthetic Controls Oracle
Bounded (O(1)) Regret Recommendation Learning via Synthetic Controls Oracle
Hyunwook Kang
P. R. Kumar
OffRL
79
1
0
29 Jan 2023
A Query-Optimal Algorithm for Finding Counterfactuals
A Query-Optimal Algorithm for Finding Counterfactuals
Guy Blanc
Caleb M. Koch
Jane Lange
Li-Yang Tan
76
5
0
14 Jul 2022
Online Model Selection for Reinforcement Learning with Function Approximation
Online Model Selection for Reinforcement Learning with Function Approximation
Jonathan Lee
Aldo Pacchiano
Vidya Muthukumar
Weihao Kong
Emma Brunskill
OffRL
63
37
0
19 Nov 2020
Estimating decision tree learnability with polylogarithmic sample complexity
Estimating decision tree learnability with polylogarithmic sample complexity
Guy Blanc
Neha Gupta
Jane Lange
Li-Yang Tan
TPM
36
5
0
03 Nov 2020
Robust Meta-learning for Mixed Linear Regression with Small Batches
Robust Meta-learning for Mixed Linear Regression with Small Batches
Weihao Kong
Raghav Somani
Sham Kakade
Sewoong Oh
OOD
86
35
0
17 Jun 2020
Profile Entropy: A Fundamental Measure for the Learnability and Compressibility of Discrete Distributions
Profile Entropy: A Fundamental Measure for the Learnability and Compressibility of Discrete Distributions
Yi Hao
A. Orlitsky
46
11
0
26 Feb 2020
Meta-learning for mixed linear regression
Meta-learning for mixed linear regression
Weihao Kong
Raghav Somani
Zhao Song
Sham Kakade
Sewoong Oh
80
67
0
20 Feb 2020