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Thanasis Pittas
Tytuł
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The optimality of polynomial regression for agnostic learning under gaussian marginals in the SQ model
I Diakonikolas, DM Kane, T Pittas, N Zarifis
Conference on Learning Theory, 1552-1584, 2021
37*2021
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 34, 3191-3204, 2021
172021
Robust sparse mean estimation via sum of squares
I Diakonikolas, DM Kane, S Karmalkar, A Pensia, T Pittas
Conference on Learning Theory, 4703-4763, 2022
152022
Streaming algorithms for high-dimensional robust statistics
I Diakonikolas, DM Kane, A Pensia, T Pittas
International Conference on Machine Learning, 5061-5117, 2022
152022
List-decodable sparse mean estimation via difference-of-pairs filtering
I Diakonikolas, D Kane, S Karmalkar, A Pensia, T Pittas
Advances in Neural Information Processing Systems 35, 13947-13960, 2022
92022
Nearly-linear time and streaming algorithms for outlier-robust pca
I Diakonikolas, D Kane, A Pensia, T Pittas
International Conference on Machine Learning, 7886-7921, 2023
52023
SQ lower bounds for learning mixtures of separated and bounded covariance gaussians
I Diakonikolas, DM Kane, T Pittas, N Zarifis
The Thirty Sixth Annual Conference on Learning Theory, 2319-2349, 2023
22023
Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression
I Diakonikolas, D Kane, A Pensia, T Pittas
Advances in Neural Information Processing Systems 36, 2024
2024
A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm
I Diakonikolas, D Kane, J Lee, A Pensia, T Pittas
Advances in Neural Information Processing Systems 36, 2024
2024
Clustering Mixtures of Bounded Covariance Distributions Under Optimal Separation
I Diakonikolas, DM Kane, JCH Lee, T Pittas
arXiv preprint arXiv:2312.11769, 2023
2023
Estimating the Number of Induced Subgraphs from Incomplete Data and Neighborhood Queries
D Fotakis, T Pittas, S Skoulakis
Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4045-4053, 2021
2021
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