Unified Theory of Efficient Optimization and Estimation

Información del proyecto

UTOPEST

Identificador del acuerdo de subvención: 815464

DOI

10.3030/815464

Proyecto cerrado

Fecha de la firma de la CE 19 Diciembre 2018

Fecha de inicio 1 Marzo 2019

Fecha de finalización 31 Agosto 2024

Financiado con arreglo a

• EXCELLENT SCIENCE - European Research Council (ERC)

Coste total

€ 1 993 320,00

Aportación de la UE

€ 1 993 320,00

Coordinado por

EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Switzerland

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Publicaciones

Other (2)

Finding Colorings in One-Sided Expanders

Autores: Rares-Darius Buhai, Yiding Hua, David Steurer, Andor Vári-Kakas
Publicado en: 2025
Editor: arxiv
DOI: 10.48550/arxiv.2508.02825

Low degree conjecture implies sharp computational thresholds in stochastic block model

Autores: Jingqiu Ding, Yiding Hua, Lucas Slot, David Steurer
Publicado en: 2025
Editor: arxiv
DOI: 10.48550/arxiv.2502.15024

Conference proceedings (32)

Private Graphon Estimation via Sum-of-Squares

Autores: Hongjie Chen, Jingqiu Ding, Tommaso D'Orsi, Yiding Hua, Chih-Hung Liu, David Steurer
Publicado en: Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 2025, Página(s) 172-182
Editor: ACM
DOI: 10.1145/3618260.3649643

Consistent Estimation for PCA and Sparse Regression with Oblivious Outliers

Autores: d'Orsi, Tommaso; Liu, Chih-Hung; Nasser, Rajai; Novikov, Gleb; Steurer, David; Tiegel, Stefan
Publicado en: Advances in Neural Information Processing Systems 34, Edición 2, 2021
Editor: Curran Associates, Inc.
DOI: 10.3929/ethz-b-000516042

Robust Mixture Learning when Outliers Overwhelm Small Groups

Autores: Rares-Darius Buhai, Daniil Dmitriev, Gleb Novikov, Amartya Sanyal, David Steurer, Stefan Tiegel, Alexander Wolters, Fanny Yang
Publicado en: Advances in Neural Information Processing Systems 37, 2025, Página(s) 100042-100082
Editor: Neural Information Processing Systems Foundation, Inc. (NeurIPS)
DOI: 10.52202/079017-3174

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

Autores: Jingqiu Ding, Samuel B. Hopkins, David Steurer
Publicado en: Advances in Neural Information Processing Systems 33, 2020
Editor: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020

SoS Certificates for Sparse Singular Values and Their Applications: Robust Statistics, Subspace Distortion, and More

Autores: Ilias Diakonikolas, Samuel B. Hopkins, Ankit Pensia, Stefan Tiegel
Publicado en: Proceedings of the 57th Annual ACM Symposium on Theory of Computing, 2025, Página(s) 1701-1709
Editor: ACM
DOI: 10.1145/3717823.3718293

Sparse PCA: Algorithms, Adversarial Perturbations and Certificates

Autores: Tommaso d'Orsi, Pravesh K. Kothari, Gleb Novikov, David Steurer
Publicado en: FOCS, 2020
Editor: {IEEE} Computer Society

Improved Hardness Results for Learning Intersections of Halfspaces

Autores: Tiegel, Stefan
Publicado en: Proceedings of Machine Learning Research, 247, Edición 2, 2024
Editor: PMLR
DOI: 10.3929/ethz-b-000713948

SQ Lower Bounds for Random Sparse Planted Vector Problem

Autores: Ding, Jingqiu; Hua, Yiding
Publicado en: Proceedings of Machine Learning Research, 201, Edición 1, 2023
Editor: pmlr
DOI: 10.48550/arxiv.2301.11124

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

Autores: Ding, Jingqiu; d'Orsi, Tommaso; Hua, Yiding; Steurer, David
Publicado en: COLT 2023, Edición 5, 2023
Editor: pmlr
DOI: 10.48550/arxiv.2305.10227

Optimal SQ Lower Bounds for Learning Halfspaces with Massart Noise

Autores: Nasser, Rajai; Tiegel, Stefan
Publicado en: Proceedings of Thirty Fifth Conference on Learning Theory, Edición 1, 2022
Editor: pmlr
DOI: 10.48550/arxiv.2201.09818

SoS Certifiability of Subgaussian Distributions and Its Algorithmic Applications

Autores: Ilias Diakonikolas, Samuel B. Hopkins, Ankit Pensia, Stefan Tiegel
Publicado en: Proceedings of the 57th Annual ACM Symposium on Theory of Computing, 2025, Página(s) 1689-1700
Editor: ACM
DOI: 10.1145/3717823.3718183

Robust recovery for stochastic block models

Autores: Jingqiu Ding, Tommaso d'Orsi, Rajai Nasser, David Steurer
Publicado en: FOCS, Edición 2021, 2021
Editor: IEEE

Testably Learning Polynomial Threshold Functions

Autores: Lucas Slot, Stefan Tiegel, Manuel Wiedmer
Publicado en: Advances in Neural Information Processing Systems 37, 2025, Página(s) 3781-3831
Editor: Neural Information Processing Systems Foundation, Inc. (NeurIPS)
DOI: 10.52202/079017-0124

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

Autores: Novikov, Gleb; Steurer, David; Tiegel, Stefan
Publicado en: neurips 2023, Edición 1, 2023
Editor: pmlr
DOI: 10.48550/arxiv.2302.10844

Sample-Optimal Private Regression in Polynomial Time

Autores: Prashanti Anderson, Ainesh Bakshi, Mahbod Majid, Stefan Tiegel
Publicado en: Proceedings of the 57th Annual ACM Symposium on Theory of Computing, 2025, Página(s) 2341-2349
Editor: ACM
DOI: 10.1145/3717823.3718218

Private estimation algorithms for stochastic block models and mixture models

Autores: Chen, Hongjie; Cohen-Addad, Vincent; d'Orsi, Tommaso; Epasto, Alessandro; Imola, Jacob; Steurer, David; Tiegel, Stefan
Publicado en: neurips 2023, Edición 5, 2023
Editor: neurips
DOI: 10.48550/arxiv.2301.04822

Robust recovery for stochastic block models

Autores: Jingqiu Ding; Tommaso D'Orsi; Rajai Nasser; David Steurer
Publicado en: 2021 IEEE 62nd Annual Symposium on Foundations of Computer Science (FOCS), Edición 1, 2021
Editor: ieee
DOI: 10.1109/focs52979.2021.00046

Algorithms Approaching the Threshold for Semi-random Planted Clique

Autores: Rares-Darius Buhai; Pravesh K. Kothari; David Steurer
Publicado en: STOC 2023: Proceedings of the 55th Annual ACM Symposium on Theory of Computing, Edición 5, 2023
Editor: acm
DOI: 10.1145/3564246.3585184

Fast algorithm for overcomplete order-3 tensor decomposition

Autores: Ding, Jingqiu; d'Orsi, Tommaso; Liu, Chih-Hung; Tiegel, Stefan; Steurer, David
Publicado en: Proceedings of Thirty Fifth Conference on Learning Theory, Edición 1, 2022
Editor: pmlr
DOI: 10.48550/arxiv.2202.06442

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

Autores: Tommaso d'Orsi; Rajai Nasser; Gleb Novikov; David Steurer
Publicado en: Proceedings of the 2023 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), Edición 4, 2023
Editor: acm siam
DOI: 10.1137/1.9781611977554.ch134

SoS Degree Reduction with Applications to Clustering and Robust Moment Estimation

Autores: David Steurer, Stefan Tiegel
Publicado en: Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms (SODA), 2021, Página(s) 374-393, ISBN 978-1-61197-646-5
Editor: Society for Industrial and Applied Mathematics
DOI: 10.1137/1.9781611976465.24

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

Autores: Buhai, Rares-Darius; Steurer, David
Publicado en: COLT 2023, 2023
Editor: Proceedings of Machine Learning Research
DOI: 10.48550/arxiv.2112.05445

Private Edge Density Estimation for Random Graphs: Optimal, Efficient and Robust

Autores: Hongjie Chen, Jingqiu Ding, Yiding Hua, David Steurer
Publicado en: Advances in Neural Information Processing Systems 37, 2025, Página(s) 90771-90817
Editor: Neural Information Processing Systems Foundation, Inc. (NeurIPS)
DOI: 10.52202/079017-2882

Hardness of Agnostically Learning Halfspaces from Worst-Case Lattice Problems

Autores: Tiegel, Stefan
Publicado en: 36th COLT 2023, 2023
Editor: PMLR
DOI: 10.48550/arxiv.2207.14030

Semirandom Planted Clique and the Restricted Isometry Property

Autores: Jarosław Błasiok, Rares-Darius Buhai, Pravesh K. Kothari, David Steurer
Publicado en: 2024 IEEE 65th Annual Symposium on Foundations of Computer Science (FOCS), 2024, Página(s) 959-969
Editor: IEEE
DOI: 10.1109/focs61266.2024.00064

Consistent regression when oblivious outliers overwhelm

Autores: d'Orsi, Tommaso; Novikov, Gleb; Steurer, David
Publicado en: Proceedings of Machine Learning Research, 139, Edición 5, 2020
Editor: icmlr
DOI: 10.48550/arxiv.2009.14774

Consistent regression when oblivious outliers overwhelm

Autores: d'Orsi, Tommaso; Novikov, Gleb; Steurer, David
Publicado en: Proceedings of Machine Learning Research, 139, Edición 1, 2021
Editor: PMLR

Sparse PCA Beyond Covariance Thresholding

Autores: Novikov, Gleb
Publicado en: colt 2023, Edición 1, 2023
Editor: pmlr
DOI: 10.48550/arxiv.2302.10158

The Complexity of Sparse Tensor PCA

Autores: Choo, Davin; d'Orsi, Tommaso
Publicado en: Advances in Neural Information Processing Systems 34, Edición 1, 2021
Editor: Curran Associates, Inc.
DOI: 10.3929/ethz-b-000520768

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

Autores: d'Orsi, Tommaso; Trevisan, Luca
Publicado en: 38th Computational Complexity Conference, CCC 2023, Edición 5, 2023
Editor: Dagstuhl - Leibniz-Zentrum für Informatik
DOI: 10.48550/arxiv.2204.10881

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

Autores: Chen, Hongjie; d'Orsi, Tommaso
Publicado en: Proceedings of Thirty Fifth Conference on Learning Theory, Edición 5, 2022
Editor: PMLR
DOI: 10.3929/ethz-b-000584641

Consistent Estimation for PCA and Sparse Regression with Oblivious Outliers

Autores: Tommaso d'Orsi, Chih-Hung Liu, Rajai Nasser, Gleb Novikov, David Steurer, Stefan Tiegel
Publicado en: 2021
Editor: Curran Associates, Inc.

Book chapters (1)

Outlier-robust Mean Estimation near the Breakdown Point via Sum-of-Squares

Autores: Hongjie Chen, Deepak Narayanan Sridharan, David Steurer
Publicado en: Proceedings of the 2025 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), 2025, Página(s) 3277-3309
Editor: Society for Industrial and Applied Mathematics
DOI: 10.1137/1.9781611978322.105