Fast Localization of Autonomous Vehicles Using Discriminative Metric Learning. - Ankit Pensia; Gaurav Sharma; Gaurav Pandey 004; James R. McBride (CRV, 2017)

Generalization Error Bounds for Noisy, Iterative Algorithms. - Ankit Pensia; Varun S. Jog; Po-Ling Loh (ISIT, 2018)

Deep Topic Models for Multi-label Learning. - Rajat Panda; Ankit Pensia; Nikhil Mehta 002; Mingyuan Zhou; Piyush Rai (AISTATS, 2019)

Mean estimation for entangled single-sample distributions. - Ankit Pensia; Varun S. Jog; Po-Ling Loh (ISIT, 2019)

Estimating location parameters in entangled single-sample distributions. - Ankit Pensia; Varun S. Jog; Po-Ling Loh (CoRR, 2019)

Outlier Robust Mean Estimation with Subgaussian Rates via Stability. - Ilias Diakonikolas; Daniel M. Kane; Ankit Pensia (NeurIPS, 2020)

Optimal Lottery Tickets via Subset Sum: Logarithmic Over-Parameterization is Sufficient. - Ankit Pensia; Shashank Rajput; Alliot Nagle; Harit Vishwakarma; Dimitris S. Papailiopoulos (NeurIPS, 2020)

Optimal Lottery Tickets via SubsetSum: Logarithmic Over-Parameterization is Sufficient. - Ankit Pensia; Shashank Rajput; Alliot Nagle; Harit Vishwakarma; Dimitris S. Papailiopoulos (CoRR, 2020)

Robust regression with covariate filtering: Heavy tails and adversarial contamination. - Ankit Pensia; Varun S. Jog; Po-Ling Loh (CoRR, 2020)

Extracting Robust and Accurate Features via a Robust Information Bottleneck. - Ankit Pensia; Varun S. Jog; Po-Ling Loh (IEEE J. Sel. Areas Inf. Theory, 2020)

Statistical Query Lower Bounds for List-Decodable Linear Regression. - Ilias Diakonikolas; Daniel Kane 001; Ankit Pensia; Thanasis Pittas; Alistair Stewart (NeurIPS, 2021)

Sharp Concentration Inequalities for the Centered Relative Entropy. - Alankrita Bhatt; Ankit Pensia (CoRR, 2021)

Robust Sparse Mean Estimation via Sum of Squares. - Ilias Diakonikolas; Daniel M. Kane; Sushrut Karmalkar; Ankit Pensia; Thanasis Pittas (COLT, 2022)

Streaming Algorithms for High-Dimensional Robust Statistics. - Ilias Diakonikolas; Daniel M. Kane; Ankit Pensia; Thanasis Pittas (ICML, 2022)

Simple Binary Hypothesis Testing under Communication Constraints. - Ankit Pensia; Po-Ling Loh; Varun S. Jog (ISIT, 2022)

List-Decodable Sparse Mean Estimation via Difference-of-Pairs Filtering. - Ilias Diakonikolas; Daniel Kane 001; Sushrut Karmalkar; Ankit Pensia; Thanasis Pittas (NeurIPS, 2022)

Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions. - Ilias Diakonikolas; Daniel Kane 001; Jasper C. H. Lee; Ankit Pensia (NeurIPS, 2022)

Nearly-Linear Time and Streaming Algorithms for Outlier-Robust PCA. - Ilias Diakonikolas; Daniel Kane 001; Ankit Pensia; Thanasis Pittas (ICML, 2023)

A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm. - Ilias Diakonikolas; Daniel Kane 001; Jasper C. H. Lee; Ankit Pensia; Thanasis Pittas (NeurIPS, 2023)

Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression. - Ilias Diakonikolas; Daniel Kane 001; Ankit Pensia; Thanasis Pittas (NeurIPS, 2023)

Gaussian Mean Testing Made Simple. - Ilias Diakonikolas; Daniel M. Kane; Ankit Pensia (SOSA, 2023)

Semi-supervised Group DRO: Combating Sparsity with Unlabeled Data. - Pranjal Awasthi; Satyen Kale; Ankit Pensia (ALT, 2024)

Black-Box k-to-1-PCA Reductions: Theory and Applications. - Arun Jambulapati; Syamantak Kumar; Jerry Li 001; Shourya Pandey; Ankit Pensia; Kevin Tian (COLT, 2024)

The Sample Complexity of Simple Binary Hypothesis Testing. - Ankit Pensia; Varun S. Jog; Po-Ling Loh (COLT, 2024)

Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination. - Ilias Diakonikolas; Daniel Kane 001; Sushrut Karmalkar; Ankit Pensia; Thanasis Pittas (ICML, 2024)

A Subquadratic Time Algorithm for Robust Sparse Mean Estimation. - Ankit Pensia (ICML, 2024)

A Sub-Quadratic Time Algorithm for Robust Sparse Mean Estimation. - Ankit Pensia (CoRR, 2024)

Communication-Constrained Hypothesis Testing: Optimality, Robustness, and Reverse Data Processing Inequalities. - Ankit Pensia; Varun S. Jog; Po-Ling Loh (IEEE Trans. Inf. Theory, 2024)

The Sample Complexity of Distributed Simple Binary Hypothesis Testing under Information Constraints. - Hadi Kazemi; Ankit Pensia; Varun S. Jog (COLT, 2025)

Optimal Robust Estimation under Local and Global Corruptions: Stronger Adversary and Smaller Error. - Thanasis Pittas; Ankit Pensia (COLT, 2025)

SoS Certifiability of Subgaussian Distributions and Its Algorithmic Applications. - Ilias Diakonikolas; Samuel B. Hopkins 001; Ankit Pensia; Stefan Tiegel (STOC, 2025)

SoS Certificates for Sparse Singular Values and Their Applications: Robust Statistics, Subspace Distortion, and More. - Ilias Diakonikolas; Samuel B. Hopkins 001; Ankit Pensia; Stefan Tiegel (STOC, 2025)

Simple Binary Hypothesis Testing Under Local Differential Privacy and Communication Constraints. - Ankit Pensia; Amir-Reza Asadi; Varun S. Jog; Po-Ling Loh (IEEE Trans. Inf. Theory, 2025)