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Chernoff Sampling for Active Testing and Extension to Active Regression

International Conference on Artificial Intelligence and Statistics (AISTATS), 2020

15 December 2020

Subhojyoti Mukherjee

Ardhendu Shekhar Tripathy

Robert D. Nowak

ArXiv (abs)PDF HTML

Papers citing "Chernoff Sampling for Active Testing and Extension to Active Regression"

10 / 10 papers shown

SaVeR: Optimal Data Collection Strategy for Safe Policy Evaluation in Tabular MDP

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Josiah P. Hanna

Robert Nowak

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Optimal Design for Human Preference Elicitation

396

22 Apr 2024

Experimental Design for Active Transductive Inference in Large Language Models

391

12 Apr 2024

Likelihood Ratio Confidence Sets for Sequential Decision Making

N. Emmenegger

Mojmír Mutný

Andreas Krause

180

08 Nov 2023

Multi-task Representation Learning for Pure Exploration in Bilinear BanditsNeural Information Processing Systems (NeurIPS), 2023

446

01 Nov 2023

Efficient and Interpretable Bandit Algorithms

258

23 Oct 2023

SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic BanditsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023

414

29 Jan 2023

Safety Aware Changepoint Detection for Piecewise i.i.d. BanditsConference on Uncertainty in Artificial Intelligence (UAI), 2022

Subhojyoti Mukherjee

154

27 May 2022

ReVar: Strengthening Policy Evaluation via Reduced Variance SamplingConference on Uncertainty in Artificial Intelligence (UAI), 2022

330

09 Mar 2022

Fast Rates in Pool-Based Batch Active Learning

Claudio Gentile

Zhilei Wang

Tong Zhang

344

11 Feb 2022