Ankit Pensia - RankMe

57 papers A* 19A 1B 4Journal 31Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	High-dimensional estimation with missing data: Statistical and computational limits. CoRR Kabir Aladin Verchand, Ankit Pensia, Saminul Haque, Rohith Kuditipudi
2025	J	`jnl`	Information-Computation Tradeoffs for Noiseless Linear Regression with Oblivious Contamination. CoRR Ilias Diakonikolas, Chao Gao, Daniel M. Kane, John Lafferty, Ankit Pensia
2025	A*	`conf`	Optimal Robust Estimation under Local and Global Corruptions: Stronger Adversary and Smaller Error. COLT Thanasis Pittas, Ankit Pensia
2025	J	`jnl`	Simple Binary Hypothesis Testing Under Local Differential Privacy and Communication Constraints. IEEE Trans. Inf. Theory Ankit Pensia, Amir-Reza Asadi, Varun S. Jog, Po-Ling Loh
2025	A*	`conf`	SoS Certifiability of Subgaussian Distributions and Its Algorithmic Applications. STOC Ilias Diakonikolas, Samuel B. Hopkins, Ankit Pensia, Stefan Tiegel
2025	A*	`conf`	SoS Certificates for Sparse Singular Values and Their Applications: Robust Statistics, Subspace Distortion, and More. STOC Ilias Diakonikolas, Samuel B. Hopkins, Ankit Pensia, Stefan Tiegel
2025	A*	`conf`	The Sample Complexity of Distributed Simple Binary Hypothesis Testing under Information Constraints. COLT Hadi Kazemi, Ankit Pensia, Varun S. Jog
2025	J	`jnl`	The Sample Complexity of Distributed Simple Binary Hypothesis Testing under Information Constraints. CoRR Hadi Kazemi, Ankit Pensia, Varun S. Jog
2024	J	`jnl`	A Sub-Quadratic Time Algorithm for Robust Sparse Mean Estimation. CoRR Ankit Pensia
2024	A*	`conf`	A Subquadratic Time Algorithm for Robust Sparse Mean Estimation. ICML Ankit Pensia
2024	A*	`conf`	Black-Box k-to-1-PCA Reductions: Theory and Applications. COLT Arun Jambulapati, Syamantak Kumar, Jerry Li, Shourya Pandey, Ankit Pensia, Kevin Tian
2024	J	`jnl`	Black-Box k-to-1-PCA Reductions: Theory and Applications. CoRR Arun Jambulapati, Syamantak Kumar, Jerry Li, Shourya Pandey, Ankit Pensia, Kevin Tian
2024	J	`jnl`	Communication-Constrained Hypothesis Testing: Optimality, Robustness, and Reverse Data Processing Inequalities. IEEE Trans. Inf. Theory Ankit Pensia, Varun S. Jog, Po-Ling Loh
2024	J	`jnl`	Optimal Robust Estimation under Local and Global Corruptions: Stronger Adversary and Smaller Error. CoRR Thanasis Pittas, Ankit Pensia
2024	A*	`conf`	Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination. ICML Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar, Ankit Pensia, Thanasis Pittas
2024	J	`jnl`	Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination. CoRR Ilias Diakonikolas, Daniel M. Kane, Sushrut Karmalkar, Ankit Pensia, Thanasis Pittas
2024	B	`conf`	Semi-supervised Group DRO: Combating Sparsity with Unlabeled Data. ALT Pranjal Awasthi, Satyen Kale, Ankit Pensia
2024	J	`jnl`	SoS Certifiability of Subgaussian Distributions and its Algorithmic Applications. CoRR Ilias Diakonikolas, Samuel B. Hopkins, Ankit Pensia, Stefan Tiegel
2024	J	`jnl`	SoS Certificates for Sparse Singular Values and Their Applications: Robust Statistics, Subspace Distortion, and More. CoRR Ilias Diakonikolas, Samuel B. Hopkins, Ankit Pensia, Stefan Tiegel
2024	A*	`conf`	The Sample Complexity of Simple Binary Hypothesis Testing. COLT Ankit Pensia, Varun S. Jog, Po-Ling Loh
2024	J	`jnl`	The Sample Complexity of Simple Binary Hypothesis Testing. CoRR Ankit Pensia, Varun S. Jog, Po-Ling Loh
2023	A*	`conf`	A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm. NeurIPS Ilias Diakonikolas, Daniel Kane, Jasper C. H. Lee, Ankit Pensia, Thanasis Pittas
2023	J	`jnl`	A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm. CoRR Ilias Diakonikolas, Daniel M. Kane, Jasper C. H. Lee, Ankit Pensia, Thanasis Pittas
2023	—	`conf`	Gaussian Mean Testing Made Simple. SOSA Ilias Diakonikolas, Daniel M. Kane, Ankit Pensia
2023	A*	`conf`	Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression. NeurIPS Ilias Diakonikolas, Daniel Kane, Ankit Pensia, Thanasis Pittas
2023	J	`jnl`	Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression. CoRR Ilias Diakonikolas, Daniel M. Kane, Ankit Pensia, Thanasis Pittas
2023	A*	`conf`	Nearly-Linear Time and Streaming Algorithms for Outlier-Robust PCA. ICML Ilias Diakonikolas, Daniel Kane, Ankit Pensia, Thanasis Pittas
2023	J	`jnl`	Nearly-Linear Time and Streaming Algorithms for Outlier-Robust PCA. CoRR Ilias Diakonikolas, Daniel M. Kane, Ankit Pensia, Thanasis Pittas
2023	A*	`conf`	Simple Binary Hypothesis Testing under Local Differential Privacy and Communication Constraints. COLT Ankit Pensia, Amir-Reza Asadi, Varun S. Jog, Po-Ling Loh
2023	J	`jnl`	Simple Binary Hypothesis Testing under Local Differential Privacy and Communication Constraints. CoRR Ankit Pensia, Amir-Reza Asadi, Varun S. Jog, Po-Ling Loh
2022	J	`jnl`	Communication-constrained hypothesis testing: Optimality, robustness, and reverse data processing inequalities. CoRR Ankit Pensia, Varun S. Jog, Po-Ling Loh
2022	J	`jnl`	Gaussian Mean Testing Made Simple. CoRR Ilias Diakonikolas, Daniel M. Kane, Ankit Pensia
2022	A*	`conf`	List-Decodable Sparse Mean Estimation via Difference-of-Pairs Filtering. NeurIPS Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar, Ankit Pensia, Thanasis Pittas
2022	J	`jnl`	List-Decodable Sparse Mean Estimation via Difference-of-Pairs Filtering. CoRR Ilias Diakonikolas, Daniel M. Kane, Sushrut Karmalkar, Ankit Pensia, Thanasis Pittas
2022	A*	`conf`	Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions. NeurIPS Ilias Diakonikolas, Daniel Kane, Jasper C. H. Lee, Ankit Pensia
2022	J	`jnl`	Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions. CoRR Ilias Diakonikolas, Daniel M. Kane, Jasper C. H. Lee, Ankit Pensia
2022	A*	`conf`	Robust Sparse Mean Estimation via Sum of Squares. COLT Ilias Diakonikolas, Daniel M. Kane, Sushrut Karmalkar, Ankit Pensia, Thanasis Pittas
2022	J	`jnl`	Robust Sparse Mean Estimation via Sum of Squares. CoRR Ilias Diakonikolas, Daniel M. Kane, Sushrut Karmalkar, Ankit Pensia, Thanasis Pittas
2022	B	`conf`	Simple Binary Hypothesis Testing under Communication Constraints. ISIT Ankit Pensia, Po-Ling Loh, Varun S. Jog
2022	A*	`conf`	Streaming Algorithms for High-Dimensional Robust Statistics. ICML Ilias Diakonikolas, Daniel M. Kane, Ankit Pensia, Thanasis Pittas
2022	J	`jnl`	Streaming Algorithms for High-Dimensional Robust Statistics. CoRR Ilias Diakonikolas, Daniel M. Kane, Ankit Pensia, Thanasis Pittas
2021	J	`jnl`	Sharp Concentration Inequalities for the Centered Relative Entropy. CoRR Alankrita Bhatt, Ankit Pensia
2021	A*	`conf`	Statistical Query Lower Bounds for List-Decodable Linear Regression. NeurIPS Ilias Diakonikolas, Daniel Kane, Ankit Pensia, Thanasis Pittas, Alistair Stewart
2021	J	`jnl`	Statistical Query Lower Bounds for List-Decodable Linear Regression. CoRR Ilias Diakonikolas, Daniel M. Kane, Ankit Pensia, Thanasis Pittas, Alistair Stewart
2020	J	`jnl`	Extracting Robust and Accurate Features via a Robust Information Bottleneck. IEEE J. Sel. Areas Inf. Theory Ankit Pensia, Varun S. Jog, Po-Ling Loh
2020	A*	`conf`	Optimal Lottery Tickets via Subset Sum: Logarithmic Over-Parameterization is Sufficient. NeurIPS Ankit Pensia, Shashank Rajput, Alliot Nagle, Harit Vishwakarma, Dimitris S. Papailiopoulos
2020	J	`jnl`	Optimal Lottery Tickets via SubsetSum: Logarithmic Over-Parameterization is Sufficient. CoRR Ankit Pensia, Shashank Rajput, Alliot Nagle, Harit Vishwakarma, Dimitris S. Papailiopoulos
2020	A*	`conf`	Outlier Robust Mean Estimation with Subgaussian Rates via Stability. NeurIPS Ilias Diakonikolas, Daniel M. Kane, Ankit Pensia
2020	J	`jnl`	Outlier Robust Mean Estimation with Subgaussian Rates via Stability. CoRR Ilias Diakonikolas, Daniel M. Kane, Ankit Pensia
2020	J	`jnl`	Robust regression with covariate filtering: Heavy tails and adversarial contamination. CoRR Ankit Pensia, Varun S. Jog, Po-Ling Loh
2019	A	`conf`	Deep Topic Models for Multi-label Learning. AISTATS Rajat Panda, Ankit Pensia, Nikhil Mehta, Mingyuan Zhou, Piyush Rai
2019	J	`jnl`	Estimating location parameters in entangled single-sample distributions. CoRR Ankit Pensia, Varun S. Jog, Po-Ling Loh
2019	J	`jnl`	Extracting robust and accurate features via a robust information bottleneck. CoRR Ankit Pensia, Varun S. Jog, Po-Ling Loh
2019	B	`conf`	Mean estimation for entangled single-sample distributions. ISIT Ankit Pensia, Varun S. Jog, Po-Ling Loh
2018	B	`conf`	Generalization Error Bounds for Noisy, Iterative Algorithms. ISIT Ankit Pensia, Varun S. Jog, Po-Ling Loh
2018	J	`jnl`	Generalization Error Bounds for Noisy, Iterative Algorithms. CoRR Ankit Pensia, Varun S. Jog, Po-Ling Loh
2017	—	`conf`	Fast Localization of Autonomous Vehicles Using Discriminative Metric Learning. CRV Ankit Pensia, Gaurav Sharma, Gaurav Pandey, James R. McBride