v1v2 (latest)

Fast DPP Sampling for Nyström with Application to Kernel Methods

19 March 2016

Papers citing "Fast DPP Sampling for Nyström with Application to Kernel Methods"

29 / 29 papers shown

Title
Reconstructing Kernel-based Machine Learning Force Fields with Super-linear Convergence Stefan Blücher Klaus-Robert Muller Stefan Chmiela 85 4 0 24 Dec 2022
Scalable Sampling for Nonsymmetric Determinantal Point Processes Insu Han Mike Gartrell Jennifer Gillenwater Elvis Dohmatob Amin Karbasi 61 4 0 20 Jan 2022
Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes Elvis Nava Mojmír Mutný Andreas Krause 65 15 0 22 Oct 2021
Connections and Equivalences between the Nyström Method and Sparse Variational Gaussian Processes Veit Wild Motonobu Kanagawa Dino Sejdinovic 81 16 0 02 Jun 2021
From Sampling to Optimization on Discrete Domains with Applications to Determinant Maximization Nima Anari T. Vuong 89 9 0 10 Feb 2021
Kernel Ridge Regression Using Importance Sampling with Application to Seismic Response Prediction Farhad Pourkamali Anaraki M. A. Hariri-Ardebili Lydia Morawiec 39 7 0 19 Sep 2020
Testing Determinantal Point Processes Khashayar Gatmiry Maryam Aliakbarpour Stefanie Jegelka 69 1 0 09 Aug 2020
Convergence of Sparse Variational Inference in Gaussian Processes Regression David R. Burt C. Rasmussen Mark van der Wilk 82 74 0 01 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
Diversity sampling is an implicit regularization for kernel methods Michaël Fanuel J. Schreurs Johan A. K. Suykens 63 14 0 20 Feb 2020
Submodular Batch Selection for Training Deep Neural Networks K. J. Joseph R. VamshiTeja Krishnakant Singh V. Balasubramanian 72 23 0 20 Jun 2019
Flexible Modeling of Diversity with Strongly Log-Concave Distributions Joshua Robinson S. Sra Stefanie Jegelka 56 12 0 12 Jun 2019
Learning Nonsymmetric Determinantal Point Processes Mike Gartrell Victor-Emmanuel Brunel Elvis Dohmatob Syrine Krichene 51 43 0 30 May 2019
Nyström landmark sampling and regularized Christoffel functions Michaël Fanuel J. Schreurs Johan A. K. Suykens 99 11 0 29 May 2019
Rates of Convergence for Sparse Variational Gaussian Process Regression David R. Burt C. Rasmussen Mark van der Wilk 76 155 0 08 Mar 2019
DPPNet: Approximating Determinantal Point Processes with Deep Networks Zelda E. Mariet Yaniv Ovadia Jasper Snoek 71 10 0 07 Jan 2019
Scalable Gaussian Processes with Grid-Structured Eigenfunctions (GP-GRIEF) Trefor W. Evans P. Nair GP 52 25 0 05 Jul 2018
VBALD - Variational Bayesian Approximation of Log Determinants Diego Granziol E. Wagstaff Binxin Ru Michael A. Osborne Stephen J. Roberts 42 2 0 21 Feb 2018
Learning Determinantal Point Processes by Corrective Negative Sampling Zelda E. Mariet Mike Gartrell S. Sra 45 3 0 15 Feb 2018
Improved Fixed-Rank Nyström Approximation via QR Decomposition: Practical and Theoretical Aspects Farhad Pourkamali Anaraki Stephen Becker 47 24 0 08 Aug 2017
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
Determinantal Point Processes for Mini-Batch Diversification Cheng Zhang Hedvig Kjellström Stephan Mandt 85 35 0 01 May 2017
Sublinear Time Low-Rank Approximation of Positive Semidefinite Matrices Cameron Musco David P. Woodruff 81 58 0 11 Apr 2017
Randomized Clustered Nystrom for Large-Scale Kernel Machines Farhad Pourkamali Anaraki Stephen Becker 80 33 0 20 Dec 2016
Batched Gaussian Process Bandit Optimization via Determinantal Point Processes Tarun Kathuria Amit Deshpande Pushmeet Kohli GP 67 103 0 13 Nov 2016
Learning Determinantal Point Processes in Sublinear Time Christophe Dupuy Francis R. Bach 70 26 0 19 Oct 2016
Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and Constrained Sampling Chengtao Li Stefanie Jegelka S. Sra 114 38 0 02 Aug 2016
Low-Rank Factorization of Determinantal Point Processes for Recommendation Mike Gartrell Ulrich Paquet Noam Koenigstein 79 77 0 17 Feb 2016
Input Sparsity Time Low-Rank Approximation via Ridge Leverage Score Sampling Michael B. Cohen Cameron Musco Christopher Musco 83 144 0 23 Nov 2015