| When are non-parametric methods robust? R Bhattacharjee, K Chaudhuri International Conference on Machine Learning, 832-841, 2020 | 38 | 2020 |
| Sample complexity of robust linear classification on separated data R Bhattacharjee, S Jha, K Chaudhuri International Conference on Machine Learning, 884-893, 2021 | 24 | 2021 |
| What relations are reliably embeddable in Euclidean space? R Bhattacharjee, S Dasgupta Algorithmic Learning Theory, 174-195, 2020 | 12 | 2020 |
| Consistent non-parametric methods for maximizing robustness R Bhattacharjee, K Chaudhuri Advances in Neural Information Processing Systems 34, 9036-9048, 2021 | 11 | 2021 |
| Robust empirical risk minimization with tolerance R Bhattacharjee, M Hopkins, A Kumar, H Yu, K Chaudhuri International Conference on Algorithmic Learning Theory, 182-203, 2023 | 10 | 2023 |
| No-substitution k-means clustering with adversarial order R Bhattacharjee, M Moshkovitz Algorithmic Learning Theory, 345-366, 2021 | 8 | 2021 |
| Data-copying in generative models: a formal framework R Bhattacharjee, S Dasgupta, K Chaudhuri International Conference on Machine Learning, 2364-2396, 2023 | 6 | 2023 |
| Consistent non-parametric methods for adaptive robustness R Bhattacharjee, K Chaudhuri arXiv preprint arXiv:2102.09086, 2021 | 6 | 2021 |
| Sample complexity of adversarially robust linear classification on separated data R Bhattacharjee, S Jha, K Chaudhuri arXiv preprint arXiv:2012.10794, 2020 | 6 | 2020 |
| Online k-means clustering on arbitrary data streams R Bhattacharjee, J Imola, M Moshkovitz, S Dasgupta International Conference on Algorithmic Learning Theory, 204-236, 2023 | 4 | 2023 |
| Learning what to remember R Bhattacharjee, G Mahajan International Conference on Algorithmic Learning Theory, 70-89, 2022 | 2 | 2022 |
| An exploration of multicalibration uniform convergence bounds H Rosenberg, R Bhattacharjee, K Fawaz, S Jha arXiv preprint arXiv:2202.04530, 2022 | 2 | 2022 |
| Effective resistance in metric spaces R Bhattacharjee, A Cloninger, Y Freund, A Oslandsbotn arXiv preprint arXiv:2306.15649, 2023 | 1 | 2023 |
| Auditing Local Explanations is Hard R Bhattacharjee, U von Luxburg arXiv preprint arXiv:2407.13281, 2024 | | 2024 |
| Beyond Discrepancy: A Closer Look at the Theory of Distribution Shift R Bhattacharjee, N Rittler, K Chaudhuri arXiv preprint arXiv:2405.19156, 2024 | | 2024 |
| Theoretical Foundations of Trustworthy Machine Learning R Bhattacharjee University of California, San Diego, 2023 | | 2023 |
| Structure from Voltage R Bhattacharjee, A Cloninger, Y Freund, A Oslandsbotn arXiv preprint arXiv:2203.00063, 2022 | | 2022 |
| No-Substitution k-means Clustering with Low Center Complexity and Memory. R Bhattacharjee, J Imola CoRR, 2021 | | 2021 |
| Optimally Perturbed Identity Matrices of Rank 2 R Bhattacharjee arXiv preprint arXiv:1907.05589, 2019 | | 2019 |
