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09/16/2023
Reducing sequential change detection to sequential estimation
We consider the problem of sequential change detection, where the goal i...
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05/08/2023
Risk-limiting Financial Audits via Weighted Sampling without Replacement
We introduce the notion of a risk-limiting financial auditing (RLFA): gi...
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02/06/2023
Sequential change detection via backward confidence sequences
We present a simple reduction from sequential estimation to sequential c...
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12/18/2022
A Permutation-Free Kernel Independence Test
In nonparametric independence testing, we observe i.i.d. data {(X_i,Y_i)...
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11/27/2022
A Permutation-free Kernel Two-Sample Test
The kernel Maximum Mean Discrepancy (MMD) is a popular multivariate dist...
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03/12/2022
Instance-Dependent Regret Analysis of Kernelized Bandits
We study the kernelized bandit problem, that involves designing an adapt...
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12/16/2021
Game-theoretic Formulations of Sequential Nonparametric One- and Two-Sample Tests
We study the problem of designing consistent sequential one- and two-sam...
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05/13/2021
Uncertainty-aware Safe Exploratory Planning using Gaussian Process and Neural Control Contraction Metric
In this paper, we consider the problem of using a robot to explore an en...
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03/01/2021
Adaptive Sampling for Minimax Fair Classification
Machine learning models trained on imbalanced datasets can often end up ...
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05/11/2020
Multi-Scale Zero-Order Optimization of Smooth Functions in an RKHS
We aim to optimize a black-box function f:XR under the assumption that f...
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03/06/2020
Active Model Estimation in Markov Decision Processes
We study the problem of efficient exploration in order to learn an accur...
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10/28/2019
Adaptive Sampling for Estimating Multiple Probability Distributions
We consider the problem of allocating samples to a finite set of discret...
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06/01/2019
Active Learning for Binary Classification with Abstention
We construct and analyze active learning algorithms for the problem of b...
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05/23/2019
Binary Classification with Bounded Abstention Rate
We consider the problem of binary classification with abstention in the ...
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02/26/2019
Multiscale Gaussian Process Level Set Estimation
In this paper, the problem of estimating the level set of a black-box fu...
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12/05/2017
Gaussian Process bandits with adaptive discretization
In this paper, the problem of maximizing a black-box function f:X→R is s...
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04/22/2017