Computational phase transitions in sparse planted problems?
暂无分享,去创建一个
[1] Charles Bordenave,et al. A new proof of Friedman's second eigenvalue theorem and its extension to random lifts , 2015, Annales scientifiques de l'École normale supérieure.
[2] Elchanan Mossel,et al. Approximation Resistant Predicates from Pairwise Independence , 2008, 2008 23rd Annual IEEE Conference on Computational Complexity.
[3] Tselil Schramm,et al. Statistical Query Algorithms and Low-Degree Tests Are Almost Equivalent , 2020, COLT.
[4] Ryan O'Donnell,et al. Sum of squares lower bounds for refuting any CSP , 2017, STOC.
[5] Prasad Raghavendra,et al. Optimal algorithms and inapproximability results for every CSP? , 2008, STOC.
[6] Laurent Massoulié,et al. Community Detection in the Labelled Stochastic Block Model , 2012, ArXiv.
[7] Elchanan Mossel,et al. A Proof of the Block Model Threshold Conjecture , 2013, Combinatorica.
[8] Subhash Khot,et al. On the power of unique 2-prover 1-round games , 2002, Proceedings 17th IEEE Annual Conference on Computational Complexity.
[9] B. Collins,et al. Eigenvalues of random lifts and polynomials of random permutation matrices , 2018, Annals of Mathematics.
[10] Oded Goldreich,et al. Candidate One-Way Functions Based on Expander Graphs , 2011, Studies in Complexity and Cryptography.
[11] Cristopher Moore,et al. Phase transitions in semisupervised clustering of sparse networks , 2014, Physical review. E, Statistical, nonlinear, and soft matter physics.
[12] Florent Krzakala,et al. Statistical physics of inference: thresholds and algorithms , 2015, ArXiv.
[13] Wasim Huleihel,et al. Reducibility and Computational Lower Bounds for Problems with Planted Sparse Structure , 2018, COLT.
[14] S. Kak. Information, physics, and computation , 1996 .
[15] Dmitriy Zhuk,et al. A Proof of CSP Dichotomy Conjecture , 2017, 2017 IEEE 58th Annual Symposium on Foundations of Computer Science (FOCS).
[16] David Steurer,et al. Efficient Bayesian Estimation from Few Samples: Community Detection and Related Problems , 2017, 2017 IEEE 58th Annual Symposium on Foundations of Computer Science (FOCS).
[17] Andrea Montanari,et al. How well do local algorithms solve semidefinite programs? , 2016, STOC.
[18] Laurent Massoulié,et al. Community detection thresholds and the weak Ramanujan property , 2013, STOC.
[19] Elchanan Mossel,et al. Belief propagation, robust reconstruction and optimal recovery of block models , 2013, COLT.
[20] Guy Bresler,et al. Reducibility and Statistical-Computational Gaps from Secret Leakage , 2020, COLT.
[21] Santosh S. Vempala,et al. Statistical Algorithms and a Lower Bound for Detecting Planted Cliques , 2012, J. ACM.
[22] Emmanuel Abbe,et al. Community Detection in General Stochastic Block models: Fundamental Limits and Efficient Algorithms for Recovery , 2015, 2015 IEEE 56th Annual Symposium on Foundations of Computer Science.
[23] Sidhanth Mohanty,et al. The SDP value for random two-eigenvalue CSPs , 2019, STACS.
[24] Joel Friedman,et al. A proof of Alon's second eigenvalue conjecture and related problems , 2004, ArXiv.
[25] Andrea Montanari,et al. Contextual Stochastic Block Models , 2018, NeurIPS.
[26] Andrea Montanari,et al. The threshold for SDP-refutation of random regular NAE-3SAT , 2018, SODA.
[27] Andrea Montanari,et al. Estimating random variables from random sparse observations , 2007, Eur. Trans. Telecommun..
[28] Ryan O'Donnell,et al. How to Refute a Random CSP , 2015, 2015 IEEE 56th Annual Symposium on Foundations of Computer Science.
[29] Guy Kindler,et al. Optimal inapproximability results for MAX-CUT and other 2-variable CSPs? , 2004, 45th Annual IEEE Symposium on Foundations of Computer Science.
[30] Prasad Raghavendra,et al. Strongly refuting random CSPs below the spectral threshold , 2016, STOC.
[31] Andrea Montanari,et al. Estimation of low-rank matrices via approximate message passing , 2017, The Annals of Statistics.
[32] Cristopher Moore,et al. Asymptotic analysis of the stochastic block model for modular networks and its algorithmic applications , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.
[33] Sidhanth Mohanty,et al. Local Statistics, Semidefinite Programming, and Community Detection , 2019, SODA.
[34] Laurent Massoulié,et al. Non-backtracking Spectrum of Random Graphs: Community Detection and Non-regular Ramanujan Graphs , 2014, 2015 IEEE 56th Annual Symposium on Foundations of Computer Science.
[35] Ryan O'Donnell,et al. Explicit near-fully X-Ramanujan graphs , 2020, 2020 IEEE 61st Annual Symposium on Foundations of Computer Science (FOCS).
[36] Florent Krzakala,et al. Hiding Quiet Solutions in Random Constraint Satisfaction Problems , 2009, Physical review letters.