Fixed-point algorithms for learning determinantal point processes

4 August 2015

Papers citing "Fixed-point algorithms for learning determinantal point processes"

13 / 13 papers shown

Title
A Family of Distributions of Random Subsets for Controlling Positive and Negative Dependence Sangwoo Shin H. Hino 37 0 0 02 Aug 2024
Explicit and Implicit Pattern Relation Analysis for Discovering Actionable Negative Sequences Wei Wang LongBing Cao 26 1 0 04 Apr 2022
Gaussian Determinantal Processes: a new model for directionality in data Subhro Ghosh Philippe Rigollet 29 9 0 19 Nov 2021
Testing Determinantal Point Processes Khashayar Gatmiry Maryam Aliakbarpour Stefanie Jegelka 49 1 0 09 Aug 2020
Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes Mike Gartrell Insu Han Elvis Dohmatob Jennifer Gillenwater Victor-Emmanuel Brunel 38 16 0 17 Jun 2020
Flexible Modeling of Diversity with Strongly Log-Concave Distributions Joshua Robinson S. Sra Stefanie Jegelka 27 12 0 12 Jun 2019
Learning Nonsymmetric Determinantal Point Processes Mike Gartrell Victor-Emmanuel Brunel Elvis Dohmatob Syrine Krichene 34 42 0 30 May 2019
Learning Signed Determinantal Point Processes through the Principal Minor Assignment Problem Victor-Emmanuel Brunel 107 27 0 01 Nov 2018
Riemannian Optimization via Frank-Wolfe Methods Melanie Weber S. Sra 20 33 0 30 Oct 2017
Query-Focused Video Summarization: Dataset, Evaluation, and A Memory Network Based Approach Aidean Sharghi Jacob S. Laurel Boqing Gong EgoV 52 134 0 16 Jul 2017
Rates of estimation for determinantal point processes Victor-Emmanuel Brunel Ankur Moitra Philippe Rigollet John C. Urschel 47 16 0 03 Jun 2017
Low-Rank Factorization of Determinantal Point Processes for Recommendation Mike Gartrell Ulrich Paquet Noam Koenigstein 39 77 0 17 Feb 2016
Determinantal point processes for machine learning Alex Kulesza B. Taskar 176 1,127 0 25 Jul 2012