Alexander S. Wein

Orcid: 0000-0002-3406-1747

Affiliations:
  • University of California, Davis, Department of Mathematics, CA, USA


According to our database1, Alexander S. Wein authored at least 39 papers between 2015 and 2024.

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Bibliography

2024
Subexponential-Time Algorithms for Sparse PCA.
Found. Comput. Math., June, 2024

Hardness of Random Optimization Problems for Boolean Circuits, Low-Degree Polynomials, and Langevin Dynamics.
SIAM J. Comput., February, 2024

Information-Theoretic Thresholds for Planted Dense Cycles.
CoRR, 2024

Tensor Cumulants for Statistical Inference on Invariant Distributions.
Proceedings of the 65th IEEE Annual Symposium on Foundations of Computer Science, 2024

Low-degree phase transitions for detecting a planted clique in sublinear time.
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023
Time Lower Bounds for the Metropolis Process and Simulated Annealing.
CoRR, 2023

Detection of Dense Subhypergraphs by Low-Degree Polynomials.
CoRR, 2023

Average-Case Complexity of Tensor Decomposition for Low-Degree Polynomials.
Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 2023

Is It Easier to Count Communities Than Find Them?
Proceedings of the 14th Innovations in Theoretical Computer Science Conference, 2023

Near-optimal fitting of ellipsoids to random points.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Detection-Recovery Gap for Planted Dense Cycles.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Is Planted Coloring Easier than Planted Clique?
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022
The Franz-Parisi Criterion and Computational Trade-offs in High Dimensional Statistics.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Lattice-Based Methods Surpass Sum-of-Squares in Clustering.
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

Statistical and Computational Phase Transitions in Group Testing.
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

2021
The Average-Case Time Complexity of Certifying the Restricted Isometry Property.
IEEE Trans. Inf. Theory, 2021

Circuit Lower Bounds for the p-Spin Optimization Problem.
CoRR, 2021

Optimal Spectral Recovery of a Planted Vector in a Subspace.
CoRR, 2021

Average-Case Integrality Gap for Non-Negative Principal Component Analysis.
Proceedings of the Mathematical and Scientific Machine Learning, 2021

Counterexamples to the Low-Degree Conjecture.
Proceedings of the 12th Innovations in Theoretical Computer Science Conference, 2021

Spectral Planting and the Hardness of Refuting Cuts, Colorability, and Communities in Random Graphs.
Proceedings of the Conference on Learning Theory, 2021

2020
Optimal Low-Degree Hardness of Maximum Independent Set.
CoRR, 2020

Computational Barriers to Estimation from Low-Degree Polynomials.
CoRR, 2020

Computationally efficient sparse clustering.
CoRR, 2020

Computational Hardness of Certifying Bounds on Constrained PCA Problems.
Proceedings of the 11th Innovations in Theoretical Computer Science Conference, 2020

Low-Degree Hardness of Random Optimization Problems.
Proceedings of the 61st IEEE Annual Symposium on Foundations of Computer Science, 2020

Free Energy Wells and Overlap Gap Property in Sparse PCA.
Proceedings of the Conference on Learning Theory, 2020

2019
Notes on Computational Hardness of Hypothesis Testing: Predictions using the Low-Degree Likelihood Ratio.
CoRR, 2019

Spectral methods from tensor networks.
Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing, 2019

The Kikuchi Hierarchy and Tensor PCA.
Proceedings of the 60th IEEE Annual Symposium on Foundations of Computer Science, 2019

Overcomplete Independent Component Analysis via SDP.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Optimality and Sub-optimality of PCA I: Spiked Random Matrix Models.
CoRR, 2018

Notes on computational-to-statistical gaps: predictions using statistical physics.
CoRR, 2018

2017
Estimation under group actions: recovering orbits from invariants.
CoRR, 2017

2016
Message-passing algorithms for synchronization problems over compact groups.
CoRR, 2016

Optimality and Sub-optimality of PCA for Spiked Random Matrices and Synchronization.
CoRR, 2016

Statistical limits of spiked tensor models.
CoRR, 2016

How robust are reconstruction thresholds for community detection?
Proceedings of the 48th Annual ACM SIGACT Symposium on Theory of Computing, 2016

2015
A semidefinite program for unbalanced multisection in the stochastic block model.
CoRR, 2015


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