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Unified Theory of Efficient Optimization and Estimation

Publications

Consistent Estimation for PCA and Sparse Regression with Oblivious Outliers

Author(s): d'Orsi, Tommaso; Liu, Chih-Hung; Nasser, Rajai; Novikov, Gleb; Steurer, David; Tiegel, Stefan
Published in: Advances in Neural Information Processing Systems 34, Issue 2, 2021
Publisher: Curran Associates, Inc.
DOI: 10.3929/ethz-b-000516042

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

Author(s): Jingqiu Ding, Samuel B. Hopkins, David Steurer
Published in: Advances in Neural Information Processing Systems 33, 2020
Publisher: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020

Sparse PCA: Algorithms, Adversarial Perturbations and Certificates

Author(s): Tommaso d'Orsi, Pravesh K. Kothari, Gleb Novikov, David Steurer
Published in: FOCS, 2020
Publisher: {IEEE} Computer Society

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

Author(s): Ding, Jingqiu; d'Orsi, Tommaso; Hua, Yiding; Steurer, David
Published in: COLT 2023, Issue 5, 2023
Publisher: pmlr
DOI: 10.48550/arxiv.2305.10227

Optimal SQ Lower Bounds for Learning Halfspaces with Massart Noise

Author(s): Nasser, Rajai; Tiegel, Stefan
Published in: Proceedings of Thirty Fifth Conference on Learning Theory, Issue 1, 2022
Publisher: pmlr
DOI: 10.48550/arxiv.2201.09818

Robust recovery for stochastic block models

Author(s): Jingqiu Ding, Tommaso d'Orsi, Rajai Nasser, David Steurer
Published in: FOCS, Issue 2021, 2021
Publisher: IEEE

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

Author(s): Novikov, Gleb; Steurer, David; Tiegel, Stefan
Published in: neurips 2023, Issue 1, 2023
Publisher: pmlr
DOI: 10.48550/arxiv.2302.10844

Private estimation algorithms for stochastic block models and mixture models

Author(s): Chen, Hongjie; Cohen-Addad, Vincent; d'Orsi, Tommaso; Epasto, Alessandro; Imola, Jacob; Steurer, David; Tiegel, Stefan
Published in: neurips 2023, Issue 5, 2023
Publisher: neurips
DOI: 10.48550/arxiv.2301.04822

Robust recovery for stochastic block models

Author(s): Jingqiu Ding; Tommaso D'Orsi; Rajai Nasser; David Steurer
Published in: 2021 IEEE 62nd Annual Symposium on Foundations of Computer Science (FOCS), Issue 1, 2021
Publisher: ieee
DOI: 10.1109/focs52979.2021.00046

Algorithms Approaching the Threshold for Semi-random Planted Clique

Author(s): Rares-Darius Buhai; Pravesh K. Kothari; David Steurer
Published in: STOC 2023: Proceedings of the 55th Annual ACM Symposium on Theory of Computing, Issue 5, 2023
Publisher: acm
DOI: 10.1145/3564246.3585184

Fast algorithm for overcomplete order-3 tensor decomposition

Author(s): Ding, Jingqiu; d'Orsi, Tommaso; Liu, Chih-Hung; Tiegel, Stefan; Steurer, David
Published in: Proceedings of Thirty Fifth Conference on Learning Theory, Issue 1, 2022
Publisher: pmlr
DOI: 10.48550/arxiv.2202.06442

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

Author(s): Tommaso d'Orsi; Rajai Nasser; Gleb Novikov; David Steurer
Published in: Proceedings of the 2023 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), Issue 4, 2023
Publisher: acm siam
DOI: 10.1137/1.9781611977554.ch134

SoS Degree Reduction with Applications to Clustering and Robust Moment Estimation

Author(s): David Steurer, Stefan Tiegel
Published in: Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms (SODA), 2021, Page(s) 374-393, ISBN 978-1-61197-646-5
Publisher: Society for Industrial and Applied Mathematics
DOI: 10.1137/1.9781611976465.24

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

Author(s): Buhai, Rares-Darius; Steurer, David
Published in: COLT 2023, 2023
Publisher: Proceedings of Machine Learning Research
DOI: 10.48550/arxiv.2112.05445

Hardness of Agnostically Learning Halfspaces from Worst-Case Lattice Problems

Author(s): Tiegel, Stefan
Published in: 36th COLT 2023, 2023
Publisher: PMLR
DOI: 10.48550/arxiv.2207.14030

Consistent regression when oblivious outliers overwhelm

Author(s): d'Orsi, Tommaso; Novikov, Gleb; Steurer, David
Published in: Proceedings of Machine Learning Research, 139, Issue 5, 2020
Publisher: icmlr
DOI: 10.48550/arxiv.2009.14774

Consistent regression when oblivious outliers overwhelm

Author(s): d'Orsi, Tommaso; Novikov, Gleb; Steurer, David
Published in: Proceedings of Machine Learning Research, 139, Issue 1, 2021
Publisher: PMLR

Sparse PCA Beyond Covariance Thresholding

Author(s): Novikov, Gleb
Published in: colt 2023, Issue 1, 2023
Publisher: pmlr
DOI: 10.48550/arxiv.2302.10158

The Complexity of Sparse Tensor PCA

Author(s): Choo, Davin; d'Orsi, Tommaso
Published in: Advances in Neural Information Processing Systems 34, Issue 1, 2021
Publisher: Curran Associates, Inc.
DOI: 10.3929/ethz-b-000520768

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

Author(s): d'Orsi, Tommaso; Trevisan, Luca
Published in: 38th Computational Complexity Conference, CCC 2023, Issue 5, 2023
Publisher: Dagstuhl - Leibniz-Zentrum für Informatik
DOI: 10.48550/arxiv.2204.10881

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

Author(s): Chen, Hongjie; d'Orsi, Tommaso
Published in: Proceedings of Thirty Fifth Conference on Learning Theory, Issue 5, 2022
Publisher: PMLR
DOI: 10.3929/ethz-b-000584641

Consistent Estimation for PCA and Sparse Regression with Oblivious Outliers

Author(s): Tommaso d'Orsi, Chih-Hung Liu, Rajai Nasser, Gleb Novikov, David Steurer, Stefan Tiegel
Published in: 2021
Publisher: Curran Associates, Inc.

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