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07/19/2023
Spuriosity Didn't Kill the Classifier: Using Invariant Predictions to Harness Spurious Features
To avoid failures on out-of-distribution data, recent works have sought ...
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11/20/2022
Decoding Attention from Gaze: A Benchmark Dataset and End-to-End Models
Eye-tracking has potential to provide rich behavioral data about human c...
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06/03/2022
Indirect Active Learning
Traditional models of active learning assume a learner can directly mani...
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07/05/2021
Statistical Theory for Imbalanced Binary Classification
Within the vast body of statistical theory developed for binary classifi...
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10/15/2020
Continuum-Armed Bandits: A Function Space Perspective
Continuum-armed bandits (a.k.a., black-box or 0^th-order optimization) i...
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08/03/2020
Interpretable Sequence Learning for COVID-19 Forecasting
We propose a novel approach that integrates machine learning into compar...
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04/18/2020
Robust Density Estimation under Besov IPM Losses
We study minimax convergence rates of nonparametric density estimation i...
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04/09/2020
Multiclass Classification via Class-Weighted Nearest Neighbors
We study statistical properties of the k-nearest neighbors algorithm for...
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05/20/2019
DARC: Differentiable ARchitecture Compression
In many learning situations, resources at inference time are significant...
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02/09/2019
Nonparametric Density Estimation under Besov IPM Losses
We study the problem of estimating a nonparametric probability distribut...
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05/22/2018
Nonparametric Density Estimation under Adversarial Losses
We study minimax convergence rates of nonparametric density estimation u...
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03/30/2018
Minimax Estimation of Quadratic Fourier Functionals
We study estimation of (semi-)inner products between two nonparametric p...
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02/24/2018
Minimax Distribution Estimation in Wasserstein Distance
The Wasserstein metric is an important measure of distance between proba...
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08/29/2017
On the Reconstruction Risk of Convolutional Sparse Dictionary Learning
Sparse dictionary learning (SDL) has become a popular method for adaptiv...
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02/24/2017
Nonparanormal Information Estimation
We study the problem of using i.i.d. samples from an unknown multivariat...
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06/05/2016
Finite-Sample Analysis of Fixed-k Nearest Neighbor Density Functional Estimators
We provide finite-sample analysis of a general framework for using k-nea...
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05/19/2016
Efficient Nonparametric Smoothness Estimation
Sobolev quantities (norms, inner products, and distances) of probability...
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03/28/2016
Generalized Exponential Concentration Inequality for Rényi Divergence Estimation
Estimating divergences in a consistent way is of great importance in man...
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03/28/2016
Exponential Concentration of a Density Functional Estimator
We analyze a plug-in estimator for a large class of integral functionals...
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03/28/2016