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Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels

29 December 2014

Papers citing "Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels"

32 / 82 papers shown

Title
Data-dependent compression of random features for large-scale kernel approximation Raj Agrawal Trevor Campbell Jonathan H. Huggins Tamara Broderick 51 20 0 09 Oct 2018
Learning Bounds for Greedy Approximation with Explicit Feature Maps from Multiple Kernels Shahin Shahrampour Vahid Tarokh 36 6 0 09 Oct 2018
Coverage-Based Designs Improve Sample Mining and Hyper-Parameter Optimization Gowtham Muniraju B. Kailkhura Jayaraman J. Thiagarajan P. Bremer C. Tepedelenlioğlu A. Spanias 36 10 0 05 Sep 2018
Quasi-Monte Carlo Variational Inference Alexander K. Buchholz F. Wenzel Stephan Mandt BDL 105 60 0 04 Jul 2018
Fast Kernel Approximations for Latent Force Models and Convolved Multiple-Output Gaussian processes Cristian Guarnizo Lemus Mauricio A. Alvarez 84 15 0 18 May 2018
Structured Evolution with Compact Architectures for Scalable Policy Optimization K. Choromanski Mark Rowland Vikas Sindhwani Richard Turner Adrian Weller 105 149 0 06 Apr 2018
Quadrature-based features for kernel approximation Marina Munkhoeva Yermek Kapushev Evgeny Burnaev Ivan Oseledets 77 54 0 11 Feb 2018
On Data-Dependent Random Features for Improved Generalization in Supervised Learning Shahin Shahrampour Ahmad Beirami Vahid Tarokh 42 27 0 19 Dec 2017
Data Dependent Kernel Approximation using Pseudo Random Fourier Features B. Damodaran Nicolas Courty P. Gosselin 25 5 0 27 Nov 2017
Spatial Mapping with Gaussian Processes and Nonstationary Fourier Features Jean-François Ton Seth Flaxman Dino Sejdinovic Samir Bhatt GP 73 55 0 15 Nov 2017
Not-So-Random Features Brian Bullins Cyril Zhang Yi Zhang 85 20 0 27 Oct 2017
Gaussian Quadrature for Kernel Features Tri Dao Christopher De Sa Christopher Ré 87 50 0 08 Sep 2017
Convergence Analysis of Deterministic Kernel-Based Quadrature Rules in Misspecified Settings Motonobu Kanagawa Bharath K. Sriperumbudur Kenji Fukumizu 100 45 0 01 Sep 2017
Data-driven Random Fourier Features using Stein Effect Wei-Cheng Chang Chun-Liang Li Yiming Yang Barnabás Póczós 70 30 0 23 May 2017
Deep Semi-Random Features for Nonlinear Function Approximation Kenji Kawaguchi Bo Xie Vikas Verma Le Song 190 15 0 28 Feb 2017
Local Group Invariant Representations via Orbit Embeddings Anant Raj Abhishek Kumar Youssef Mroueh Tom Fletcher Bernhard Schölkopf 81 38 0 06 Dec 2016
Orthogonal Random Features Felix X. Yu A. Suresh K. Choromanski D. Holtmann-Rice Sanjiv Kumar 99 222 0 28 Oct 2016
Kernel Methods on Approximate Infinite-Dimensional Covariance Operators for Image Classification H. Q. Minh Marco San-Biagio Loris Bazzani Vittorio Murino 44 3 0 29 Sep 2016
Uncertain programming model for multi-item solid transportation problem Hasan Dalman 155 749 0 31 May 2016
TripleSpin - a generic compact paradigm for fast machine learning computations K. Choromanski Francois Fagan Cédric Gouy-Pailler Anne Morvan Vikas Sindhwani Jamal Atif 90 7 0 29 May 2016
Convergence guarantees for kernel-based quadrature rules in misspecified settings Motonobu Kanagawa Bharath K. Sriperumbudur Kenji Fukumizu 193 52 0 24 May 2016
Generalization Properties of Learning with Random Features Alessandro Rudi Lorenzo Rosasco MLT 102 331 0 14 Feb 2016
A General Framework for Constrained Bayesian Optimization using Information-based Search José Miguel Hernández-Lobato M. Gelbart Ryan P. Adams Matthew W. Hoffman Zoubin Ghahramani 67 167 0 30 Nov 2015
Large-Scale Approximate Kernel Canonical Correlation Analysis Weiran Wang Karen Livescu 132 54 0 15 Nov 2015
Less is More: Nyström Computational Regularization Alessandro Rudi Raffaello Camoriano Lorenzo Rosasco 97 277 0 16 Jul 2015
Tensor machines for learning target-specific polynomial features Jiyan Yang Alex Gittens 77 8 0 07 Apr 2015
Compact Nonlinear Maps and Circulant Extensions Felix X. Yu Sanjiv Kumar H. Rowley Shih-Fu Chang 89 47 0 12 Mar 2015
On the Equivalence between Kernel Quadrature Rules and Random Feature Expansions Francis R. Bach 100 34 0 24 Feb 2015
Control Functionals for Quasi-Monte Carlo Integration Chris J. Oates Mark Girolami 204 27 0 14 Jan 2015
Scalable Kernel Methods via Doubly Stochastic Gradients Bo Dai Bo Xie Niao He Yingyu Liang Anant Raj Maria-Florina Balcan Le Song 184 230 0 21 Jul 2014
FastMMD: Ensemble of Circular Discrepancy for Efficient Two-Sample Test Ji Zhao Deyu Meng 105 98 0 12 May 2014
Randomized Nonlinear Component Analysis David Lopez-Paz S. Sra Alex Smola Zoubin Ghahramani Bernhard Schölkopf 146 177 0 01 Feb 2014