Daniel Kane
University of California, San Diego
H-index: 41
North America-United States
Top articles of Daniel Kane
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
SQ Lower Bounds for Non-Gaussian Component Analysis with Weaker Assumptions | Advances in Neural Information Processing Systems | Ilias Diakonikolas Daniel Kane Lisheng Ren Yuxin Sun | 2024/2/13 |
Super Non-singular Decompositions of Polynomials and their Application to Robustly Learning Low-degree PTFs | arXiv preprint arXiv:2404.00529 | Ilias Diakonikolas Daniel M Kane Vasilis Kontonis Sihan Liu Nikos Zarifis | 2024/3/31 |
SQ lower bounds for learning mixtures of linear classifiers | Advances in Neural Information Processing Systems | Ilias Diakonikolas Daniel Kane Yuxin Sun | 2024/2/13 |
Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination | arXiv preprint arXiv:2403.10416 | Ilias Diakonikolas Daniel M Kane Sushrut Karmalkar Ankit Pensia Thanasis Pittas | 2024/3/15 |
Near-Optimal Bounds for Learning Gaussian Halfspaces with Random Classification Noise | Advances in Neural Information Processing Systems | Ilias Diakonikolas Jelena Diakonikolas Daniel Kane Puqian Wang Nikos Zarifis | 2024/2/13 |
Statistical Query Lower Bounds for Learning Truncated Gaussians | arXiv preprint arXiv:2403.02300 | Ilias Diakonikolas Daniel M Kane Thanasis Pittas Nikos Zarifis | 2024/3/4 |
Efficient testable learning of halfspaces with adversarial label noise | Advances in Neural Information Processing Systems | Ilias Diakonikolas Daniel Kane Vasilis Kontonis Sihan Liu Nikos Zarifis | 2024/2/13 |
Locality Bounds for Sampling Hamming Slices | arXiv preprint arXiv:2402.14278 | Daniel M Kane Anthony Ostuni Kewen Wu | 2024/2/22 |
Online Robust Mean Estimation | Daniel M Kane Ilias Diakonikolas Hanshen Xiao Sihan Liu | 2024 | |
Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression | Ilias Diakonikolas Daniel Kane Ankit Pensia Thanasis Pittas | 2023/12 | |
Nearly-linear time and streaming algorithms for outlier-robust pca | Ilias Diakonikolas Daniel Kane Ankit Pensia Thanasis Pittas | 2023/7/3 | |
Statistical and computational limits for tensor-on-tensor association detection | Ilias Diakonikolas Daniel M Kane Yuetian Luo Anru Zhang | 2023/7/12 | |
Testing Closeness of Multivariate Distributions via Ramsey Theory | arXiv preprint arXiv:2311.13154 | Ilias Diakonikolas Daniel M Kane Sihan Liu | 2023/11/22 |
Agnostically Learning Multi-index Models with Queries | arXiv preprint arXiv:2312.16616 | Ilias Diakonikolas Daniel M Kane Vasilis Kontonis Christos Tzamos Nikos Zarifis | 2023/12/27 |
Sampling Equilibria: Fast No-Regret Learning in Structured Games | Daniel Beaglehole Max Hopkins Daniel Kane Sihan Liu Shachar Lovett | 2023 | |
Near-optimal cryptographic hardness of agnostically learning halfspaces and relu regression under gaussian marginals | Ilias Diakonikolas Daniel Kane Lisheng Ren | 2023/7/3 | |
Exponential Hardness of Reinforcement Learning with Linear Function Approximation | Sihan Liu Gaurav Mahajan Daniel Kane Shachar Lovett Gellért Weisz | 2023/7/12 | |
Theoretical Foundations of Ordinal Multidimensional Scaling, Including Internal and External Unfolding | arXiv preprint arXiv:2310.00211 | Ery Arias-Castro Clément Berenfeld Daniel Kane | 2023/9/30 |
Clustering Mixtures of Bounded Covariance Distributions Under Optimal Separation | Ilias Diakonikolas Daniel M Kane Jasper CH Lee Thanasis Pittas | 2023/12/19 | |
SQ Lower Bounds for Learning Bounded Covariance GMMs | arXiv preprint arXiv:2306.13057 | Ilias Diakonikolas Daniel M Kane Thanasis Pittas Nikos Zarifis | 2023/6/22 |
Co-Authors
