Shubhanshu Shekhar | DeepAI

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Mohammad Javad Khojasteh
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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...

0 Shubhanshu Shekhar, et al. ∙

∙ 05/08/2023

Risk-limiting Financial Audits via Weighted Sampling without Replacement

We introduce the notion of a risk-limiting financial auditing (RLFA): gi...

0 Shubhanshu Shekhar, et al. ∙

∙ 02/06/2023

Sequential change detection via backward confidence sequences

We present a simple reduction from sequential estimation to sequential c...

0 Shubhanshu Shekhar, et al. ∙

∙ 12/18/2022

A Permutation-Free Kernel Independence Test

In nonparametric independence testing, we observe i.i.d. data {(X_i,Y_i)...

0 Shubhanshu Shekhar, et al. ∙

∙ 11/27/2022

A Permutation-free Kernel Two-Sample Test

The kernel Maximum Mean Discrepancy (MMD) is a popular multivariate dist...

0 Shubhanshu Shekhar, et al. ∙

∙ 03/12/2022

Instance-Dependent Regret Analysis of Kernelized Bandits

We study the kernelized bandit problem, that involves designing an adapt...

0 Shubhanshu Shekhar, et al. ∙

∙ 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...

0 Shubhanshu Shekhar, et al. ∙

∙ 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...

0 Dawei Sun, et al. ∙

∙ 03/01/2021

Adaptive Sampling for Minimax Fair Classification

Machine learning models trained on imbalanced datasets can often end up ...

0 Shubhanshu Shekhar, et al. ∙

∙ 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...

0 Shubhanshu Shekhar, et al. ∙

∙ 03/06/2020

Active Model Estimation in Markov Decision Processes

We study the problem of efficient exploration in order to learn an accur...

25 Jean Tarbouriech, et al. ∙

∙ 10/28/2019

Adaptive Sampling for Estimating Multiple Probability Distributions

We consider the problem of allocating samples to a finite set of discret...

0 Shubhanshu Shekhar, et al. ∙

∙ 06/01/2019

Active Learning for Binary Classification with Abstention

We construct and analyze active learning algorithms for the problem of b...

0 Shubhanshu Shekhar, et al. ∙

∙ 05/23/2019

Binary Classification with Bounded Abstention Rate

We consider the problem of binary classification with abstention in the ...

0 Shubhanshu Shekhar, et al. ∙

∙ 02/26/2019

Multiscale Gaussian Process Level Set Estimation

In this paper, the problem of estimating the level set of a black-box fu...

0 Shubhanshu Shekhar, et al. ∙

∙ 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...

0 Shubhanshu Shekhar, et al. ∙

∙ 04/22/2017

Species tree estimation using ASTRAL: how many genes are enough?

Species tree reconstruction from genomic data is increasingly performed ...

0 Shubhanshu Shekhar, et al. ∙

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