Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and Constrained Sampling

2 August 2016

Papers citing "Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and Constrained Sampling"

10 / 10 papers shown

Title
Testing Determinantal Point Processes Khashayar Gatmiry Maryam Aliakbarpour Stefanie Jegelka 39 1 0 09 Aug 2020
Determinantal Point Processes in Randomized Numerical Linear Algebra Michal Derezinski Michael W. Mahoney 34 77 0 07 May 2020
Adaptive Sampling for Stochastic Risk-Averse Learning Sebastian Curi Kfir Y. Levy Stefanie Jegelka Andreas Krause 24 52 0 28 Oct 2019
Batch Active Learning Using Determinantal Point Processes Erdem Biyik Kenneth Wang Nima Anari Dorsa Sadigh 27 61 0 19 Jun 2019
Flexible Modeling of Diversity with Strongly Log-Concave Distributions Joshua Robinson S. Sra Stefanie Jegelka 11 12 0 12 Jun 2019
DPPNet: Approximating Determinantal Point Processes with Deep Networks Zelda E. Mariet Yaniv Ovadia Jasper Snoek 35 10 0 07 Jan 2019
Optimal Algorithms for Continuous Non-monotone Submodular and DR-Submodular Maximization Rad Niazadeh Tim Roughgarden Joshua R. Wang 16 51 0 24 May 2018
Zonotope hit-and-run for efficient sampling from projection DPPs G. Gautier Rémi Bardenet Michal Valko 30 18 0 30 May 2017
Polynomial Time Algorithms for Dual Volume Sampling Chengtao Li Stefanie Jegelka S. Sra 19 31 0 08 Mar 2017
Determinantal point processes for machine learning Alex Kulesza B. Taskar 176 1,125 0 25 Jul 2012