Ankit Pensia

PhD candidate

Department of Computer Sciences

UW-Madison

Email: ankitp@cs.wisc.edu

Hi, I am a fourth year PhD student in the CS department at UW-Madison.

I'm honored to be advised by Prof. Po-Ling Loh and Prof. Varun Jog. Before coming to the lovely town of Madison, I spent five memorable years at IIT Kanpur.

Please feel free to contact me.

## Research

My research interests include -

- Robust Statistics
Theoretical Machine Learning

High-Dimensional Statistics

## Publications (Google Scholar, dblp, Semantic Scholar)

Statistical Query Lower Bounds for List-Decodable Linear Regression

Manuscript, 2021

[Abstract] [arXiv]

Estimating location parameters in sample-heterogeneous distributions

Information and Inference: a Journal of the IMA, 2021

[Abstract] [arXiv] [Journal version] [PDF]

Robust regression with covariate filtering: Heavy tails and adversarial contamination

Manuscript, 2020

[Abstract] [arXiv]

Outlier Robust Mean Estimation with Subgaussian Rates via Stability

Advances in Neural Information Processing Systems (NeurIPS), 2020

[Abstract] [arXiv] [Conference version]

Optimal Lottery Tickets via SubsetSum: Logarithmic Over-Parameterization is Sufficient

Advances in Neural Information Processing Systems (NeurIPS), 2020

[Abstract] [arXiv] [Conference version]

Extracting robust and accurate features via a robust information bottleneck

IEEE Journal on Selected Areas in Information Theory, 2020

[Abstract] [Journal version] [PDF]

Mean estimation for entangled single-sample distributions

IEEE International Symposium on Information Theory (ISIT), 2019

[Abstract] [Conference version][PDF]

Deep Topic Models for Multi-label Learning

International Conference on Artificial Intelligence and Statistics (AISTATS), 2019

[Abstract] [Conference version]

Generalization Error Bounds for Noisy, Iterative Algorithms

IEEE International Symposium on Information Theory (ISIT), 2018

[Abstract] [arXiv] [Conference version]

Fast Localization of Autonomous Vehicles Using Discriminative Metric Learning

14th Conference on Computer and Robot Vision (CRV), 2017

[Abstract] [Conference version]

## Teaching Experience

Graduate Teaching Assistant

Mathematical Foundations of Machine Learning, UW-Madison, Fall 2018

Introduction to Bioinformatics, UW-Madison, Fall 2017

Probabilistic Mobile Robotics, IIT Kanpur, Fall 2016, Spring 2016

Communication Systems, IIT Kanpur, Summer 2016

Academic Mentor

Representation and Analysis of Random Signals, IIT Kanpur, Fall 2016