Unified Theory of Efficient Optimization and Estimation

Publikacje

Consistent Estimation for PCA and Sparse Regression with Oblivious Outliers

Autorzy: d'Orsi, Tommaso; Liu, Chih-Hung; Nasser, Rajai; Novikov, Gleb; Steurer, David; Tiegel, Stefan
Opublikowane w: Advances in Neural Information Processing Systems 34, Numer 2, 2021
Wydawca: Curran Associates, Inc.
DOI: 10.3929/ethz-b-000516042

Estimating Rank-One Spikes from Heavy-Tailed Noise via Self-Avoiding Walks

Autorzy: Jingqiu Ding, Samuel B. Hopkins, David Steurer
Opublikowane w: Advances in Neural Information Processing Systems 33, 2020
Wydawca: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020

Sparse PCA: Algorithms, Adversarial Perturbations and Certificates

Autorzy: Tommaso d'Orsi, Pravesh K. Kothari, Gleb Novikov, David Steurer
Opublikowane w: FOCS, 2020
Wydawca: {IEEE} Computer Society

Reaching Kesten-Stigum Threshold in the Stochastic Block Model under Node Corruptions

Autorzy: Ding, Jingqiu; d'Orsi, Tommaso; Hua, Yiding; Steurer, David
Opublikowane w: COLT 2023, Numer 5, 2023
Wydawca: pmlr
DOI: 10.48550/arxiv.2305.10227

Optimal SQ Lower Bounds for Learning Halfspaces with Massart Noise

Autorzy: Nasser, Rajai; Tiegel, Stefan
Opublikowane w: Proceedings of Thirty Fifth Conference on Learning Theory, Numer 1, 2022
Wydawca: pmlr
DOI: 10.48550/arxiv.2201.09818

Robust recovery for stochastic block models

Autorzy: Jingqiu Ding, Tommaso d'Orsi, Rajai Nasser, David Steurer
Opublikowane w: FOCS, Numer 2021, 2021
Wydawca: IEEE

Robust Mean Estimation Without a Mean: Dimension-Independent Error in Polynomial Time for Symmetric Distributions

Autorzy: Novikov, Gleb; Steurer, David; Tiegel, Stefan
Opublikowane w: neurips 2023, Numer 1, 2023
Wydawca: pmlr
DOI: 10.48550/arxiv.2302.10844

Private estimation algorithms for stochastic block models and mixture models

Autorzy: Chen, Hongjie; Cohen-Addad, Vincent; d'Orsi, Tommaso; Epasto, Alessandro; Imola, Jacob; Steurer, David; Tiegel, Stefan
Opublikowane w: neurips 2023, Numer 5, 2023
Wydawca: neurips
DOI: 10.48550/arxiv.2301.04822

Robust recovery for stochastic block models

Autorzy: Jingqiu Ding; Tommaso D'Orsi; Rajai Nasser; David Steurer
Opublikowane w: 2021 IEEE 62nd Annual Symposium on Foundations of Computer Science (FOCS), Numer 1, 2021
Wydawca: ieee
DOI: 10.1109/focs52979.2021.00046

Algorithms Approaching the Threshold for Semi-random Planted Clique

Autorzy: Rares-Darius Buhai; Pravesh K. Kothari; David Steurer
Opublikowane w: STOC 2023: Proceedings of the 55th Annual ACM Symposium on Theory of Computing, Numer 5, 2023
Wydawca: acm
DOI: 10.1145/3564246.3585184

Fast algorithm for overcomplete order-3 tensor decomposition

Autorzy: Ding, Jingqiu; d'Orsi, Tommaso; Liu, Chih-Hung; Tiegel, Stefan; Steurer, David
Opublikowane w: Proceedings of Thirty Fifth Conference on Learning Theory, Numer 1, 2022
Wydawca: pmlr
DOI: 10.48550/arxiv.2202.06442

Higher degree sum-of-squares relaxations robust against oblivious outliers

Autorzy: Tommaso d'Orsi; Rajai Nasser; Gleb Novikov; David Steurer
Opublikowane w: Proceedings of the 2023 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), Numer 4, 2023
Wydawca: acm siam
DOI: 10.1137/1.9781611977554.ch134

SoS Degree Reduction with Applications to Clustering and Robust Moment Estimation

Autorzy: David Steurer, Stefan Tiegel
Opublikowane w: Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms (SODA), 2021, Strona(/y) 374-393, ISBN 978-1-61197-646-5
Wydawca: Society for Industrial and Applied Mathematics
DOI: 10.1137/1.9781611976465.24

Beyond Parallel Pancakes: Quasi-Polynomial Time Guarantees for Non-Spherical Gaussian Mixtures

Autorzy: Buhai, Rares-Darius; Steurer, David
Opublikowane w: COLT 2023, 2023
Wydawca: Proceedings of Machine Learning Research
DOI: 10.48550/arxiv.2112.05445

Hardness of Agnostically Learning Halfspaces from Worst-Case Lattice Problems

Autorzy: Tiegel, Stefan
Opublikowane w: 36th COLT 2023, 2023
Wydawca: PMLR
DOI: 10.48550/arxiv.2207.14030

Consistent regression when oblivious outliers overwhelm

Autorzy: d'Orsi, Tommaso; Novikov, Gleb; Steurer, David
Opublikowane w: Proceedings of Machine Learning Research, 139, Numer 5, 2020
Wydawca: icmlr
DOI: 10.48550/arxiv.2009.14774

Consistent regression when oblivious outliers overwhelm

Autorzy: d'Orsi, Tommaso; Novikov, Gleb; Steurer, David
Opublikowane w: Proceedings of Machine Learning Research, 139, Numer 1, 2021
Wydawca: PMLR

Sparse PCA Beyond Covariance Thresholding

Autorzy: Novikov, Gleb
Opublikowane w: colt 2023, Numer 1, 2023
Wydawca: pmlr
DOI: 10.48550/arxiv.2302.10158

The Complexity of Sparse Tensor PCA

Autorzy: Choo, Davin; d'Orsi, Tommaso
Opublikowane w: Advances in Neural Information Processing Systems 34, Numer 1, 2021
Wydawca: Curran Associates, Inc.
DOI: 10.3929/ethz-b-000520768

A Ihara-Bass Formula for Non-Boolean Matrices and Strong Refutations of Random CSPs

Autorzy: d'Orsi, Tommaso; Trevisan, Luca
Opublikowane w: 38th Computational Complexity Conference, CCC 2023, Numer 5, 2023
Wydawca: Dagstuhl - Leibniz-Zentrum für Informatik
DOI: 10.48550/arxiv.2204.10881

On the well-spread property and its relation to linear regression

Autorzy: Chen, Hongjie; d'Orsi, Tommaso
Opublikowane w: Proceedings of Thirty Fifth Conference on Learning Theory, Numer 5, 2022
Wydawca: PMLR
DOI: 10.3929/ethz-b-000584641

Consistent Estimation for PCA and Sparse Regression with Oblivious Outliers

Autorzy: Tommaso d'Orsi, Chih-Hung Liu, Rajai Nasser, Gleb Novikov, David Steurer, Stefan Tiegel
Opublikowane w: 2021
Wydawca: Curran Associates, Inc.

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