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High-dimensional estimation via sum-of-squares proofs

30 July 2018

Papers citing "High-dimensional estimation via sum-of-squares proofs"

25 / 25 papers shown

Title
Robustness Implies Privacy in Statistical Estimation Samuel B. Hopkins Gautam Kamath Mahbod Majid Shyam Narayanan 123 57 0 09 Dec 2022
Average-Case Complexity of Tensor Decomposition for Low-Degree Polynomials Alexander S. Wein 113 11 0 10 Nov 2022
Privacy Induces Robustness: Information-Computation Gaps and Sparse Mean Estimation Kristian Georgiev Samuel B. Hopkins FedML 101 24 0 01 Nov 2022
Disordered Systems Insights on Computational Hardness D. Gamarnik Cristopher Moore Lenka Zdeborová AI4CE 84 36 0 15 Oct 2022
The Franz-Parisi Criterion and Computational Trade-offs in High Dimensional Statistics Afonso S. Bandeira A. Alaoui Samuel B. Hopkins T. Schramm Alexander S. Wein Ilias Zadik 93 34 0 19 May 2022
Beyond Parallel Pancakes: Quasi-Polynomial Time Guarantees for Non-Spherical Gaussian Mixtures Rares-Darius Buhai David Steurer CoGe 70 4 0 10 Dec 2021
Lattice-Based Methods Surpass Sum-of-Squares in Clustering Ilias Zadik M. Song Alexander S. Wein Joan Bruna 78 39 0 07 Dec 2021
Efficient Mean Estimation with Pure Differential Privacy via a Sum-of-Squares Exponential Mechanism Samuel B. Hopkins Gautam Kamath Mahbod Majid FedML 87 62 0 25 Nov 2021
Robust recovery for stochastic block models Jingqiu Ding Tommaso dÓrsi Rajai Nasser David Steurer 53 20 0 16 Nov 2021
Algorithmic Obstructions in the Random Number Partitioning Problem D. Gamarnik Eren C. Kizildaug 76 23 0 02 Mar 2021
SoS Degree Reduction with Applications to Clustering and Robust Moment Estimation David Steurer Stefan Tiegel 68 10 0 05 Jan 2021
Statistical Query Algorithms and Low-Degree Tests Are Almost Equivalent Matthew Brennan Guy Bresler Samuel B. Hopkins Jingkai Li T. Schramm 93 66 0 13 Sep 2020
Estimating Rank-One Spikes from Heavy-Tailed Noise via Self-Avoiding Walks Jingqiu Ding Samuel B. Hopkins David Steurer 54 10 0 31 Aug 2020
Computational Barriers to Estimation from Low-Degree Polynomials T. Schramm Alexander S. Wein 73 67 0 05 Aug 2020
Robust Linear Regression: Optimal Rates in Polynomial Time Ainesh Bakshi Adarsh Prasad 103 60 0 29 Jun 2020
Tensor Clustering with Planted Structures: Statistical Optimality and Computational Limits Yuetian Luo Anru R. Zhang 134 47 0 21 May 2020
Reducibility and Statistical-Computational Gaps from Secret Leakage Matthew Brennan Guy Bresler 99 91 0 16 May 2020
Learning sums of powers of low-degree polynomials in the non-degenerate case A. Garg N. Kayal Chandan Saha 68 24 0 15 Apr 2020
Algorithms for Heavy-Tailed Statistics: Regression, Covariance Estimation, and Beyond Yeshwanth Cherapanamjeri Samuel B. Hopkins Tarun Kathuria P. Raghavendra Nilesh Tripuraneni 150 39 0 23 Dec 2019
Recent Advances in Algorithmic High-Dimensional Robust Statistics Ilias Diakonikolas D. Kane OOD 113 184 0 14 Nov 2019
Efficiently Learning Structured Distributions from Untrusted Batches Sitan Chen Jingkai Li Ankur Moitra OOD FedML 76 16 0 05 Nov 2019
Notes on Computational Hardness of Hypothesis Testing: Predictions using the Low-Degree Likelihood Ratio Dmitriy Kunisky Alexander S. Wein Afonso S. Bandeira 99 148 0 26 Jul 2019
Subexponential-Time Algorithms for Sparse PCA Yunzi Ding Dmitriy Kunisky Alexander S. Wein Afonso S. Bandeira 177 63 0 26 Jul 2019
Computational Hardness of Certifying Bounds on Constrained PCA Problems Afonso S. Bandeira Dmitriy Kunisky Alexander S. Wein 70 66 0 19 Feb 2019
Mean Estimation with Sub-Gaussian Rates in Polynomial Time Samuel B. Hopkins 87 81 0 19 Sep 2018