Expectation-Maximization for Learning Determinantal Point Processes

4 November 2014

Papers citing "Expectation-Maximization for Learning Determinantal Point Processes"

30 / 30 papers shown

Title
A Family of Distributions of Random Subsets for Controlling Positive and Negative Dependence Sangwoo Shin H. Hino 85 0 0 02 Aug 2024
Enhancing Neural Subset Selection: Integrating Background Information into Set Representations Binghui Xie Yatao Bian Kaiwen Zhou Yongqiang Chen Peilin Zhao Bo Han Wei Meng James Cheng 59 1 0 05 Feb 2024
Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point Processes Wei Duan Junyu Xuan Maoying Qiao Jie Lu 84 11 0 05 Dec 2022
Concrete Score Matching: Generalized Score Matching for Discrete Data Chenlin Meng Kristy Choi Jiaming Song Stefano Ermon DiffM 259 71 0 02 Nov 2022
Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection A. De Soumen Chakrabarti 96 5 0 20 Oct 2022
Explicit and Implicit Pattern Relation Analysis for Discovering Actionable Negative Sequences Wei Wang LongBing Cao 33 1 0 04 Apr 2022
Learning Neural Set Functions Under the Optimal Subset Oracle Zijing Ou Tingyang Xu Qinliang Su Yingzhen Li P. Zhao Yatao Bian BDL 52 10 0 03 Mar 2022
Scalable Sampling for Nonsymmetric Determinantal Point Processes Insu Han Mike Gartrell Jennifer Gillenwater Elvis Dohmatob Amin Karbasi 61 4 0 20 Jan 2022
Deep Time Series Forecasting with Shape and Temporal Criteria Vincent Le Guen Nicolas Thome AI4TS 75 30 0 09 Apr 2021
Wasserstein Learning of Determinantal Point Processes Lucas Anquetil Mike Gartrell A. Rakotomamonjy Ugo Tanielian Clément Calauzènes 17 2 0 19 Nov 2020
Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity Vincent Le Guen Nicolas Thome AI4TS 87 27 0 14 Oct 2020
Testing Determinantal Point Processes Khashayar Gatmiry Maryam Aliakbarpour Stefanie Jegelka 69 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 60 16 0 17 Jun 2020
DLow: Diversifying Latent Flows for Diverse Human Motion Prediction Ye Yuan Kris Kitani DiffM 122 243 0 18 Mar 2020
PTP: Parallelized Tracking and Prediction with Graph Neural Networks and Diversity Sampling Xinshuo Weng Ye Yuan Kris Kitani 67 33 0 17 Mar 2020
Provable Non-Convex Optimization and Algorithm Validation via Submodularity Yatao Bian 46 3 0 18 Dec 2019
Diverse Trajectory Forecasting with Determinantal Point Processes Ye Yuan Kris Kitani 53 134 0 11 Jul 2019
Learning Nonsymmetric Determinantal Point Processes Mike Gartrell Victor-Emmanuel Brunel Elvis Dohmatob Syrine Krichene 51 43 0 30 May 2019
Diversified Hidden Markov Models for Sequential Labeling Maoying Qiao Wei Bian R. Xu Dacheng Tao 11 11 0 05 Apr 2019
Learning Signed Determinantal Point Processes through the Principal Minor Assignment Problem Victor-Emmanuel Brunel 152 28 0 01 Nov 2018
A Polynomial Time MCMC Method for Sampling from Continuous DPPs S. Gharan A. Rezaei 48 4 0 20 Oct 2018
Diversity in Machine Learning Z. Gong P. Zhong Weidong Hu 55 203 0 04 Jul 2018
Differentiable Submodular Maximization Sebastian Tschiatschek Aytunc Sahin Andreas Krause 68 45 0 05 Mar 2018
Learning Determinantal Point Processes by Corrective Negative Sampling Zelda E. Mariet Mike Gartrell S. Sra 59 3 0 15 Feb 2018
Query-Focused Video Summarization: Dataset, Evaluation, and A Memory Network Based Approach Aidean Sharghi Jacob S. Laurel Boqing Gong EgoV 122 137 0 16 Jul 2017
Rates of estimation for determinantal point processes Victor-Emmanuel Brunel Ankur Moitra Philippe Rigollet John C. Urschel 83 16 0 03 Jun 2017
Learning Determinantal Point Processes in Sublinear Time Christophe Dupuy Francis R. Bach 78 26 0 19 Oct 2016
Low-Rank Factorization of Determinantal Point Processes for Recommendation Mike Gartrell Ulrich Paquet Noam Koenigstein 79 77 0 17 Feb 2016
Efficient Sampling for k-Determinantal Point Processes Chengtao Li Stefanie Jegelka S. Sra 139 52 0 04 Sep 2015
Fixed-point algorithms for learning determinantal point processes Zelda E. Mariet S. Sra 99 53 0 04 Aug 2015