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Alexander S. Wein
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- affiliation: University of California, Davis, Department of Mathematics, CA, USA
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2020 – today
- 2024
- [j3]Yunzi Ding, Dmitriy Kunisky, Alexander S. Wein, Afonso S. Bandeira:
Subexponential-Time Algorithms for Sparse PCA. Found. Comput. Math. 24(3): 865-914 (2024) - [j2]David Gamarnik, Aukosh Jagannath, Alexander S. Wein:
Hardness of Random Optimization Problems for Boolean Circuits, Low-Degree Polynomials, and Langevin Dynamics. SIAM J. Comput. 53(1): 1-46 (2024) - [c20]Jay Mardia, Kabir Aladin Verchand, Alexander S. Wein:
Low-degree phase transitions for detecting a planted clique in sublinear time. COLT 2024: 3798-3822 - [c19]Dmitriy Kunisky, Cristopher Moore, Alexander S. Wein:
Tensor Cumulants for Statistical Inference on Invariant Distributions. FOCS 2024: 1007-1026 - [i37]Cheng Mao, Alexander S. Wein, Shenduo Zhang:
Information-Theoretic Thresholds for Planted Dense Cycles. CoRR abs/2402.00305 (2024) - [i36]Jay Mardia, Kabir Aladin Verchand, Alexander S. Wein:
Low-degree phase transitions for detecting a planted clique in sublinear time. CoRR abs/2402.05451 (2024) - [i35]Dmitriy Kunisky, Cristopher Moore, Alexander S. Wein:
Tensor cumulants for statistical inference on invariant distributions. CoRR abs/2404.18735 (2024) - 2023
- [c18]Cheng Mao, Alexander S. Wein, Shenduo Zhang:
Detection-Recovery Gap for Planted Dense Cycles. COLT 2023: 2440-2481 - [c17]Aaron Potechin, Paxton M. Turner, Prayaag Venkat, Alexander S. Wein:
Near-optimal fitting of ellipsoids to random points. COLT 2023: 4235-4295 - [c16]Pravesh Kothari, Santosh S. Vempala, Alexander S. Wein, Jeff Xu:
Is Planted Coloring Easier than Planted Clique? COLT 2023: 5343-5372 - [c15]Cynthia Rush, Fiona Skerman, Alexander S. Wein, Dana Yang:
Is It Easier to Count Communities Than Find Them? ITCS 2023: 94:1-94:23 - [c14]Alexander S. Wein:
Average-Case Complexity of Tensor Decomposition for Low-Degree Polynomials. STOC 2023: 1685-1698 - [i34]Cheng Mao, Alexander S. Wein, Shenduo Zhang:
Detection-Recovery Gap for Planted Dense Cycles. CoRR abs/2302.06737 (2023) - [i33]Pravesh K. Kothari, Santosh S. Vempala, Alexander S. Wein, Jeff Xu:
Is Planted Coloring Easier than Planted Clique? CoRR abs/2303.00252 (2023) - [i32]Abhishek Dhawan, Cheng Mao, Alexander S. Wein:
Detection of Dense Subhypergraphs by Low-Degree Polynomials. CoRR abs/2304.08135 (2023) - [i31]Zongchen Chen, Dan Mikulincer, Daniel Reichman, Alexander S. Wein:
Time Lower Bounds for the Metropolis Process and Simulated Annealing. CoRR abs/2312.13554 (2023) - 2022
- [c13]Ilias Zadik, Min Jae Song, Alexander S. Wein, Joan Bruna:
Lattice-Based Methods Surpass Sum-of-Squares in Clustering. COLT 2022: 1247-1248 - [c12]Amin Coja-Oghlan, Oliver Gebhard, Max Hahn-Klimroth, Alexander S. Wein, Ilias Zadik:
Statistical and Computational Phase Transitions in Group Testing. COLT 2022: 4764-4781 - [c11]Afonso S. Bandeira, Ahmed El Alaoui, Samuel B. Hopkins, Tselil Schramm, Alexander S. Wein, Ilias Zadik:
The Franz-Parisi Criterion and Computational Trade-offs in High Dimensional Statistics. NeurIPS 2022 - [i30]Afonso S. Bandeira, Ahmed El Alaoui, Samuel B. Hopkins, Tselil Schramm, Alexander S. Wein, Ilias Zadik:
The Franz-Parisi Criterion and Computational Trade-offs in High Dimensional Statistics. CoRR abs/2205.09727 (2022) - [i29]Amin Coja-Oghlan, Oliver Gebhard, Max Hahn-Klimroth, Alexander S. Wein, Ilias Zadik:
Statistical and Computational Phase Transitions in Group Testing. CoRR abs/2206.07640 (2022) - [i28]Alexander S. Wein:
Average-Case Complexity of Tensor Decomposition for Low-Degree Polynomials. CoRR abs/2211.05274 (2022) - [i27]Cynthia Rush, Fiona Skerman, Alexander S. Wein, Dana Yang:
Is it easier to count communities than find them? CoRR abs/2212.10872 (2022) - 2021
- [j1]Yunzi Ding, Dmitriy Kunisky, Alexander S. Wein, Afonso S. Bandeira:
The Average-Case Time Complexity of Certifying the Restricted Isometry Property. IEEE Trans. Inf. Theory 67(11): 7355-7361 (2021) - [c10]Afonso S. Bandeira, Jess Banks, Dmitriy Kunisky, Cristopher Moore, Alexander S. Wein:
Spectral Planting and the Hardness of Refuting Cuts, Colorability, and Communities in Random Graphs. COLT 2021: 410-473 - [c9]Justin Holmgren, Alexander S. Wein:
Counterexamples to the Low-Degree Conjecture. ITCS 2021: 75:1-75:9 - [c8]Afonso S. Bandeira, Dmitriy Kunisky, Alexander S. Wein:
Average-Case Integrality Gap for Non-Negative Principal Component Analysis. MSML 2021: 153-171 - [i26]Cheng Mao, Alexander S. Wein:
Optimal Spectral Recovery of a Planted Vector in a Subspace. CoRR abs/2105.15081 (2021) - [i25]David Gamarnik, Aukosh Jagannath, Alexander S. Wein:
Circuit Lower Bounds for the p-Spin Optimization Problem. CoRR abs/2109.01342 (2021) - [i24]Ilias Zadik, Min Jae Song, Alexander S. Wein, Joan Bruna:
Lattice-Based Methods Surpass Sum-of-Squares in Clustering. CoRR abs/2112.03898 (2021) - 2020
- [c7]Gérard Ben Arous, Alexander S. Wein, Ilias Zadik:
Free Energy Wells and Overlap Gap Property in Sparse PCA. COLT 2020: 479-482 - [c6]David Gamarnik, Aukosh Jagannath, Alexander S. Wein:
Low-Degree Hardness of Random Optimization Problems. FOCS 2020: 131-140 - [c5]Afonso S. Bandeira, Dmitriy Kunisky, Alexander S. Wein:
Computational Hardness of Certifying Bounds on Constrained PCA Problems. ITCS 2020: 78:1-78:29 - [i23]Justin Holmgren, Alexander S. Wein:
Counterexamples to the Low-Degree Conjecture. CoRR abs/2004.08454 (2020) - [i22]David Gamarnik, Aukosh Jagannath, Alexander S. Wein:
Low-Degree Hardness of Random Optimization Problems. CoRR abs/2004.12063 (2020) - [i21]Matthias Löffler, Alexander S. Wein, Afonso S. Bandeira:
Computationally efficient sparse clustering. CoRR abs/2005.10817 (2020) - [i20]Yunzi Ding, Dmitriy Kunisky, Alexander S. Wein, Afonso S. Bandeira:
The Average-Case Time Complexity of Certifying the Restricted Isometry Property. CoRR abs/2005.11270 (2020) - [i19]Gérard Ben Arous, Alexander S. Wein, Ilias Zadik:
Free Energy Wells and Overlap Gap Property in Sparse PCA. CoRR abs/2006.10689 (2020) - [i18]Tselil Schramm, Alexander S. Wein:
Computational Barriers to Estimation from Low-Degree Polynomials. CoRR abs/2008.02269 (2020) - [i17]Afonso S. Bandeira, Jess Banks, Dmitriy Kunisky, Cristopher Moore, Alexander S. Wein:
Spectral Planting and the Hardness of Refuting Cuts, Colorability, and Communities in Random Graphs. CoRR abs/2008.12237 (2020) - [i16]Alexander S. Wein:
Optimal Low-Degree Hardness of Maximum Independent Set. CoRR abs/2010.06563 (2020) - [i15]Afonso S. Bandeira, Dmitriy Kunisky, Alexander S. Wein:
Average-Case Integrality Gap for Non-Negative Principal Component Analysis. CoRR abs/2012.02243 (2020)
2010 – 2019
- 2019
- [c4]Anastasia Podosinnikova, Amelia Perry, Alexander S. Wein, Francis R. Bach, Alexandre d'Aspremont, David A. Sontag:
Overcomplete Independent Component Analysis via SDP. AISTATS 2019: 2583-2592 - [c3]Alexander S. Wein, Ahmed El Alaoui, Cristopher Moore:
The Kikuchi Hierarchy and Tensor PCA. FOCS 2019: 1446-1468 - [c2]Ankur Moitra, Alexander S. Wein:
Spectral methods from tensor networks. STOC 2019: 926-937 - [i14]Anastasia Podosinnikova, Amelia Perry, Alexander S. Wein, Francis R. Bach, Alexandre d'Aspremont, David A. Sontag:
Overcomplete Independent Component Analysis via SDP. CoRR abs/1901.08334 (2019) - [i13]Afonso S. Bandeira, Dmitriy Kunisky, Alexander S. Wein:
Computational Hardness of Certifying Bounds on Constrained PCA Problems. CoRR abs/1902.07324 (2019) - [i12]Alexander S. Wein, Ahmed El Alaoui, Cristopher Moore:
The Kikuchi Hierarchy and Tensor PCA. CoRR abs/1904.03858 (2019) - [i11]Yunzi Ding, Dmitriy Kunisky, Alexander S. Wein, Afonso S. Bandeira:
Subexponential-Time Algorithms for Sparse PCA. CoRR abs/1907.11635 (2019) - [i10]Dmitriy Kunisky, Alexander S. Wein, Afonso S. Bandeira:
Notes on Computational Hardness of Hypothesis Testing: Predictions using the Low-Degree Likelihood Ratio. CoRR abs/1907.11636 (2019) - 2018
- [i9]Afonso S. Bandeira, Amelia Perry, Alexander S. Wein:
Notes on computational-to-statistical gaps: predictions using statistical physics. CoRR abs/1803.11132 (2018) - [i8]Amelia Perry, Alexander S. Wein, Afonso S. Bandeira, Ankur Moitra:
Optimality and Sub-optimality of PCA I: Spiked Random Matrix Models. CoRR abs/1807.00891 (2018) - [i7]Ankur Moitra, Alexander S. Wein:
Spectral Methods from Tensor Networks. CoRR abs/1811.00944 (2018) - 2017
- [i6]Afonso S. Bandeira, Ben Blum-Smith, Amelia Perry, Jonathan Weed, Alexander S. Wein:
Estimation under group actions: recovering orbits from invariants. CoRR abs/1712.10163 (2017) - 2016
- [c1]Ankur Moitra, William Perry, Alexander S. Wein:
How robust are reconstruction thresholds for community detection? STOC 2016: 828-841 - [i5]Amelia Perry, Alexander S. Wein, Afonso S. Bandeira, Ankur Moitra:
Optimality and Sub-optimality of PCA for Spiked Random Matrices and Synchronization. CoRR abs/1609.05573 (2016) - [i4]Amelia Perry, Alexander S. Wein, Afonso S. Bandeira, Ankur Moitra:
Message-passing algorithms for synchronization problems over compact groups. CoRR abs/1610.04583 (2016) - [i3]Amelia Perry, Alexander S. Wein, Afonso S. Bandeira:
Statistical limits of spiked tensor models. CoRR abs/1612.07728 (2016) - 2015
- [i2]William Perry, Alexander S. Wein:
A semidefinite program for unbalanced multisection in the stochastic block model. CoRR abs/1507.05605 (2015) - [i1]Ankur Moitra, William Perry, Alexander S. Wein:
How Robust are Reconstruction Thresholds for Community Detection? CoRR abs/1511.01473 (2015)
Coauthor Index
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last updated on 2024-12-10 20:47 CET by the dblp team
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