Learning Hard-Constrained Models with One Sample

6 November 2023

Papers citing "Learning Hard-Constrained Models with One Sample"

13 / 13 papers shown

Title
Testing Convex Truncation Anindya De Shivam Nadimpalli Rocco A. Servedio 25 9 0 04 May 2023
Perfect Sampling from Pairwise Comparisons Dimitris Fotakis Alkis Kalavasis Christos Tzamos 47 3 0 23 Nov 2022
Learning and Covering Sums of Independent Random Variables with Unbounded Support Alkis Kalavasis Konstantinos Stavropoulos Manolis Zampetakis 55 2 0 24 Oct 2022
Localization Schemes: A Framework for Proving Mixing Bounds for Markov Chains Yuansi Chen Ronen Eldan 43 81 0 08 Mar 2022
The Algorithmic Phase Transition of Random $k$ -SAT for Low Degree Polynomials Guy Bresler Brice Huang 40 44 0 03 Jun 2021
Outlier-Robust Learning of Ising Models Under Dobrushin's Condition Ilias Diakonikolas D. Kane Alistair Stewart Yuxin Sun 55 16 0 03 Feb 2021
Computationally and Statistically Efficient Truncated Regression C. Daskalakis Themis Gouleakis Christos Tzamos Manolis Zampetakis 39 32 0 22 Oct 2020
Estimation in Tensor Ising Models Somabha Mukherjee Jaesung Son B. Bhattacharya 60 12 0 29 Aug 2020
Parameter Estimation for Undirected Graphical Models with Hard Constraints B. Bhattacharya K. Ramanan 51 2 0 22 Aug 2020
Efficient Truncated Statistics with Unknown Truncation Vasilis Kontonis Christos Tzamos Manolis Zampetakis 60 29 0 02 Aug 2019
Efficient Statistics, in High Dimensions, from Truncated Samples C. Daskalakis Themis Gouleakis Christos Tzamos Manolis Zampetakis 65 50 0 11 Sep 2018
Learning Graphical Models Using Multiplicative Weights Adam R. Klivans Raghu Meka 56 113 0 20 Jun 2017
Approximate Counting, the Lovasz Local Lemma and Inference in Graphical Models Ankur Moitra 25 47 0 14 Oct 2016