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08/21/2022
FastCPH: Efficient Survival Analysis for Neural Networks
The Cox proportional hazards model is a canonical method in survival ana...
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10/12/2021
On the Self-Penalization Phenomenon in Feature Selection
We describe an implicit sparsity-inducing mechanism based on minimizatio...
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06/17/2021
Taming Nonconvexity in Kernel Feature Selection—Favorable Properties of the Laplace Kernel
Kernel-based feature selection is an important tool in nonparametric sta...
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12/14/2020
Bandit Learning in Decentralized Matching Markets
We study two-sided matching markets in which one side of the market (the...
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11/24/2020
A Self-Penalizing Objective Function for Scalable Interaction Detection
We tackle the problem of nonparametric variable selection with a focus o...
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03/16/2020
Is Temporal Difference Learning Optimal? An Instance-Dependent Analysis
We address the problem of policy evaluation in discounted Markov decisio...
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11/05/2019
The generalization error of max-margin linear classifiers: High-dimensional asymptotics in the overparametrized regime
Modern machine learning models are often so complex that they achieve va...
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07/29/2019
A neural network with feature sparsity
We propose a neural network model, with a separate linear (residual) ter...
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10/06/2018
Adapting to Unknown Noise Distribution in Matrix Denoising
We consider the problem of estimating an unknown matrix ∈^m× n, from obs...
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06/14/2018
The Right Complexity Measure in Locally Private Estimation: It is not the Fisher Information
We identify fundamental tradeoffs between statistical utility and privac...
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04/22/2018
A constrained risk inequality for general losses
We provide a general constrained risk inequality that applies to arbitra...
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06/30/2014