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05/17/2023
Counterfactually Comparing Abstaining Classifiers
Abstaining classifiers have the option to abstain from making prediction...
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01/09/2023
A Sequential Test for Log-Concavity
On observing a sequence of i.i.d. data with distribution P on ℝ^d, we as...
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09/27/2022
A Doubly Optimistic Strategy for Safe Linear Bandits
We propose a doubly optimistic strategy for the safe-linear-bandit probl...
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04/01/2022
Strategies for Safe Multi-Armed Bandits with Logarithmic Regret and Risk
We investigate a natural but surprisingly unstudied approach to the mult...
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10/27/2021
Online Selective Classification with Limited Feedback
Motivated by applications to resource-limited and safety-critical domain...
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11/07/2020
Limits on Testing Structural Changes in Ising Models
We present novel information-theoretic limits on detecting sparse change...
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10/15/2020
Selective Classification via One-Sided Prediction
We propose a novel method for selective classification (SC), a problem w...
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07/05/2020
Piecewise Linear Regression via a Difference of Convex Functions
We present a new piecewise linear regression methodology that utilizes f...
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04/14/2020
Budget Learning via Bracketing
Conventional machine learning applications in the mobile/IoT setting tra...
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11/29/2018
Testing Changes in Communities for the Stochastic Block Model
We introduce the problems of goodness-of-fit and two-sample testing of t...
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10/28/2017
