Shashank Singh | DeepAI

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Featured Co-authors

Bernhard Schölkopf
271 publications
Barnabas Poczos
101 publications
Simon S. Du
95 publications
Manzil Zaheer
69 publications
Tomas Pfister
48 publications
Chun-Liang Li
46 publications
Sercan O. Arik
32 publications
Jinsung Yoon
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Julius von Kügelgen
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Jian Ma
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Zohar Karnin
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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 ...

0 Cian Eastwood, et al. ∙

∙ 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...

0 Karan Uppal, et al. ∙

∙ 06/03/2022

Indirect Active Learning

Traditional models of active learning assume a learner can directly mani...

0 Shashank Singh, et al. ∙

∙ 07/05/2021

Statistical Theory for Imbalanced Binary Classification

Within the vast body of statistical theory developed for binary classifi...

0 Shashank Singh, et al. ∙

∙ 10/15/2020

Continuum-Armed Bandits: A Function Space Perspective

Continuum-armed bandits (a.k.a., black-box or 0^th-order optimization) i...

0 Shashank Singh, et al. ∙

∙ 08/03/2020

Interpretable Sequence Learning for COVID-19 Forecasting

We propose a novel approach that integrates machine learning into compar...

36 Sercan O. Arik, et al. ∙

∙ 04/18/2020

Robust Density Estimation under Besov IPM Losses

We study minimax convergence rates of nonparametric density estimation i...

5 Ananya Uppal, et al. ∙

∙ 04/09/2020

Multiclass Classification via Class-Weighted Nearest Neighbors

We study statistical properties of the k-nearest neighbors algorithm for...

4 Justin Khim, et al. ∙

∙ 05/20/2019

DARC: Differentiable ARchitecture Compression

In many learning situations, resources at inference time are significant...

0 Shashank Singh, et al. ∙

∙ 02/09/2019

Nonparametric Density Estimation under Besov IPM Losses

We study the problem of estimating a nonparametric probability distribut...

0 Ananya Uppal, et al. ∙

∙ 05/22/2018

Nonparametric Density Estimation under Adversarial Losses

We study minimax convergence rates of nonparametric density estimation u...

0 Shashank Singh, et al. ∙

∙ 03/30/2018

Minimax Estimation of Quadratic Fourier Functionals

We study estimation of (semi-)inner products between two nonparametric p...

0 Shashank Singh, et al. ∙

∙ 02/24/2018

Minimax Distribution Estimation in Wasserstein Distance

The Wasserstein metric is an important measure of distance between proba...

0 Shashank Singh, et al. ∙

∙ 08/29/2017

On the Reconstruction Risk of Convolutional Sparse Dictionary Learning

Sparse dictionary learning (SDL) has become a popular method for adaptiv...

0 Shashank Singh, et al. ∙

∙ 02/24/2017

Nonparanormal Information Estimation

We study the problem of using i.i.d. samples from an unknown multivariat...

0 Shashank Singh, et al. ∙

∙ 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...

0 Shashank Singh, et al. ∙

∙ 05/19/2016

Efficient Nonparametric Smoothness Estimation

Sobolev quantities (norms, inner products, and distances) of probability...

0 Shashank Singh, et al. ∙

∙ 03/28/2016

Generalized Exponential Concentration Inequality for Rényi Divergence Estimation

Estimating divergences in a consistent way is of great importance in man...

0 Shashank Singh, et al. ∙

∙ 03/28/2016

Exponential Concentration of a Density Functional Estimator

We analyze a plug-in estimator for a large class of integral functionals...

0 Shashank Singh, et al. ∙

∙ 03/28/2016

Analysis of k-Nearest Neighbor Distances with Application to Entropy Estimation

Estimating entropy and mutual information consistently is important for ...

0 Shashank Singh, et al. ∙

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