| Generalization error bounds for noisy, iterative algorithms A Pensia, V Jog, PL Loh 2018 IEEE International Symposium on Information Theory (ISIT), 546-550, 2018 | 98 | 2018 |
| Optimal Lottery Tickets via Subset Sum: Logarithmic Over-Parameterization is Sufficient A Pensia, S Rajput, A Nagle, H Vishwakarma, D Papailiopoulos Advances in Neural Information Processing Systems (NeurIPS) 33, 2020 | 81 | 2020 |
| Outlier Robust Mean Estimation with Subgaussian Rates via Stability I Diakonikolas, DM Kane, A Pensia Advances in Neural Information Processing Systems (NeurIPS) 33, 2020 | 54 | 2020 |
| Robust regression with covariate filtering: Heavy tails and adversarial contamination A Pensia, V Jog, PL Loh arXiv preprint arXiv:2009.12976, 2020 | 43 | 2020 |
| Extracting robust and accurate features via a robust information bottleneck A Pensia, V Jog, PL Loh IEEE Journal on Selected Areas in Information Theory 1 (1), 131-144, 2020 | 22 | 2020 |
| Statistical query lower bounds for list-decodable linear regression I Diakonikolas, D Kane, A Pensia, T Pittas, A Stewart Advances in Neural Information Processing Systems (NeurIPS) 34, 2021 | 16 | 2021 |
| Streaming Algorithms for High-Dimensional Robust Statistics I Diakonikolas, DM Kane, A Pensia, T Pittas International Conference on Machine Learning (ICML), 2022 | 14 | 2022 |
| Robust Sparse Mean Estimation via Sum of Squares I Diakonikolas, DM Kane, S Karmalkar, A Pensia, T Pittas Conference on Learning Theory (COLT), 2022 | 13 | 2022 |
| Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions I Diakonikolas, D Kane, JCH Lee, A Pensia Advances in Neural Information Processing Systems (NeurIPS) 35, 2022 | 9 | 2022 |
| List-Decodable Sparse Mean Estimation via Difference-of-Pairs Filtering I Diakonikolas, DM Kane, S Karmalkar, A Pensia, T Pittas Advances in Neural Information Processing Systems (NeurIPS) 35, 2022 | 8 | 2022 |
| Estimating location parameters in sample-heterogeneous distributions A Pensia, V Jog, PL Loh Information and Inference: A Journal of the IMA, 2021 | 6* | 2021 |
| Deep topic models for multi-label learning R Panda, A Pensia, N Mehta, M Zhou, P Rai International Conference on Artificial Intelligence and Statistics (AISTATS), 2019 | 6 | 2019 |
| Simple Binary Hypothesis Testing under Local Differential Privacy and Communication Constraints A Pensia, AR Asadi, V Jog, PL Loh Conference on Learning Theory (COLT), 2023 | 3 | 2023 |
| Sharp concentration inequalities for the centred relative entropy A Bhatt, A Pensia Information and Inference: A Journal of the IMA 12 (1), 524-550, 2023 | 3 | 2023 |
| Gaussian Mean Testing Made Simple I Diakonikolas, DM Kane, A Pensia SIAM Symposium on Simplicity in Algorithms (SOSA) 2023, 2022 | 3 | 2022 |
| Communication-constrained hypothesis testing: Optimality, robustness, and reverse data processing inequalities A Pensia, V Jog, PL Loh arXiv preprint arXiv:2206.02765, 2022 | 3 | 2022 |
| Mean estimation for entangled single-sample distributions A Pensia, V Jog, PL Loh 2019 IEEE International Symposium on Information Theory (ISIT), 3052-3056, 2019 | 3 | 2019 |
| Simple binary hypothesis testing under communication constraints A Pensia, PL Loh, V Jog 2022 IEEE International Symposium on Information Theory (ISIT), 3297-3302, 2022 | 2 | 2022 |
| Nearly-Linear Time and Streaming Algorithms for Outlier-Robust PCA I Diakonikolas, D Kane, A Pensia, T Pittas International Conference on Machine Learning (ICML), 2023 | 1 | 2023 |
| Efficient Statistical Inference Under Sampling and Computational Constraints A Pensia The University of Wisconsin-Madison, 2023 | | 2023 |
Varun JogUniversity of CambridgeGeverifieerd e-mailadres voor cam.ac.uk
