| 2025 | COLT | The Sample Complexity of Distributed Simple Binary Hypothesis Testing under Information Constraints. | Hadi Kazemi, Ankit Pensia, Varun S. Jog |
| 2025 | COLT | Optimal Robust Estimation under Local and Global Corruptions: Stronger Adversary and Smaller Error. | Thanasis Pittas, Ankit Pensia |
| 2025 | STOC | SoS Certifiability of Subgaussian Distributions and Its Algorithmic Applications. | Ilias Diakonikolas, Samuel B. Hopkins, Ankit Pensia, Stefan Tiegel |
| 2025 | STOC | SoS Certificates for Sparse Singular Values and Their Applications: Robust Statistics, Subspace Distortion, and More. | Ilias Diakonikolas, Samuel B. Hopkins, Ankit Pensia, Stefan Tiegel |
| 2024 | ALT | Semi-supervised Group DRO: Combating Sparsity with Unlabeled Data. | Pranjal Awasthi, Satyen Kale, Ankit Pensia |
| 2024 | COLT | Black-Box k-to-1-PCA Reductions: Theory and Applications. | Arun Jambulapati, Syamantak Kumar, Jerry Li, Shourya Pandey, Ankit Pensia, Kevin Tian |
| 2024 | COLT | The Sample Complexity of Simple Binary Hypothesis Testing. | Ankit Pensia, Varun S. Jog, Po-Ling Loh |
| 2024 | ICML | Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination. | Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar, Ankit Pensia, Thanasis Pittas |
| 2024 | ICML | A Subquadratic Time Algorithm for Robust Sparse Mean Estimation. | Ankit Pensia |
| 2023 | COLT | Simple Binary Hypothesis Testing under Local Differential Privacy and Communication Constraints. | Ankit Pensia, Amir-Reza Asadi, Varun S. Jog, Po-Ling Loh |
| 2023 | ICML | Nearly-Linear Time and Streaming Algorithms for Outlier-Robust PCA. | Ilias Diakonikolas, Daniel Kane, Ankit Pensia, Thanasis Pittas |
| 2022 | COLT | Robust Sparse Mean Estimation via Sum of Squares. | Ilias Diakonikolas, Daniel M. Kane, Sushrut Karmalkar, Ankit Pensia, Thanasis Pittas |
| 2022 | ICML | Streaming Algorithms for High-Dimensional Robust Statistics. | Ilias Diakonikolas, Daniel M. Kane, Ankit Pensia, Thanasis Pittas |
| 2022 | ISIT | Simple Binary Hypothesis Testing under Communication Constraints. | Ankit Pensia, Po-Ling Loh, Varun S. Jog |
| 2019 | AISTATS | Deep Topic Models for Multi-label Learning. | Rajat Panda, Ankit Pensia, Nikhil Mehta, Mingyuan Zhou, Piyush Rai |
| 2019 | ISIT | Mean estimation for entangled single-sample distributions. | Ankit Pensia, Varun S. Jog, Po-Ling Loh |
| 2018 | ISIT | Generalization Error Bounds for Noisy, Iterative Algorithms. | Ankit Pensia, Varun S. Jog, Po-Ling Loh |