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Automatic Construction and Natural-Language Description of Nonparametric Regression Models

18 February 2014

Papers citing "Automatic Construction and Natural-Language Description of Nonparametric Regression Models"

30 / 80 papers shown

Title
Automated Multi-Label Classification based on ML-Plan Marcel Wever F. Mohr Eyke Hüllermeier 27 13 0 09 Nov 2018
Change Surfaces for Expressive Multidimensional Changepoints and Counterfactual Prediction William Herlands Daniel B. Neill H. Nickisch A. Wilson OOD 62 2 0 28 Oct 2018
A natural 4-parameter family of covariance functions for stationary Gaussian processes R. MacKay N. E. Phillips 11 2 0 17 Oct 2018
Automatic Bayesian Density Analysis Antonio Vergari Alejandro Molina Robert Peharz Zoubin Ghahramani Kristian Kersting Isabel Valera 53 35 0 24 Jul 2018
Differentiable Compositional Kernel Learning for Gaussian Processes Shengyang Sun Guodong Zhang Chaoqi Wang Wenyuan Zeng Jiaman Li Roger C. Grosse BDL 83 70 0 12 Jun 2018
The Gaussian Process Autoregressive Regression Model (GPAR) James Requeima Will Tebbutt W. Bruinsma Richard Turner 146 41 0 20 Feb 2018
MONK -- Outlier-Robust Mean Embedding Estimation by Median-of-Means M. Lerasle Z. Szabó Gaspar Massiot Guillaume Lecué 217 36 0 13 Feb 2018
client2vec: Towards Systematic Baselines for Banking Applications Leonardo Baldassini Jose Antonio Rodríguez Serrano AI4TS 38 11 0 12 Feb 2018
Neural Feature Learning From Relational Database Hoang Thanh Lam T. Minh M. Sinn Beat Buesser Martin Wistuba 55 8 0 16 Jan 2018
How well does your sampler really work? Ryan D. Turner Brady Neal 60 4 0 16 Dec 2017
Building machines that adapt and compute like brains Brenden M. Lake J. Tenenbaum AI4CE FedML NAI AILaw 331 887 0 11 Nov 2017
Characteristic and Universal Tensor Product Kernels Z. Szabó Bharath K. Sriperumbudur 179 72 0 28 Aug 2017
Scaling up the Automatic Statistician: Scalable Structure Discovery using Gaussian Processes Hyunjik Kim Yee Whye Teh 77 52 0 08 Jun 2017
StreetStyle: Exploring world-wide clothing styles from millions of photos Kevin Blackburn-Matzen Kavita Bala Noah Snavely 82 90 0 06 Jun 2017
One button machine for automating feature engineering in relational databases Hoang Thanh Lam Johann-Michael Thiebaut M. Sinn Bei Chen Tiep Mai Öznur Alkan 67 95 0 01 Jun 2017
Efficient Learning of Harmonic Priors for Pitch Detection in Polyphonic Music Pablo A. Alvarado D. Stowell 40 7 0 19 May 2017
REMIX: Automated Exploration for Interactive Outlier Detection Yanjie Fu Charu C. Aggarwal Srinivasan Parthasarathy D. Turaga Hui Xiong 32 5 0 17 May 2017
Discovering Latent Covariance Structures for Multiple Time Series Anh Tong Jaesik Choi AI4TS 15 0 0 28 Mar 2017
Time Series Structure Discovery via Probabilistic Program Synthesis Ulrich Schaechtle Feras A. Saad Alexey Radul Vikash K. Mansinghka AI4TS 74 10 0 21 Nov 2016
Probabilistic structure discovery in time series data David Janz Brooks Paige Tom Rainforth Jan-Willem van de Meent Frank Wood AI4TS 31 9 0 21 Nov 2016
Stochastic Variational Deep Kernel Learning A. Wilson Zhiting Hu Ruslan Salakhutdinov Eric Xing BDL 144 267 0 01 Nov 2016
Model Selection for Gaussian Process Regression by Approximation Set Coding B. Fischer Nico S. Gorbach Stefan Bauer Yatao Bian J. M. Buhmann GP 31 6 0 04 Oct 2016
Automatic Generation of Probabilistic Programming from Time Series Data Anh Tong Jaesik Choi AI4TS 43 6 0 04 Jul 2016
Gaussian Processes for Music Audio Modelling and Content Analysis Pablo A. Alvarado D. Stowell 20 6 0 03 Jun 2016
Interpretable Distribution Features with Maximum Testing Power Wittawat Jitkrittum Z. Szabó Kacper P. Chwialkowski Arthur Gretton 106 136 0 22 May 2016
Probabilistic Programming with Gaussian Process Memoization Ulrich Schaechtle Ben Zinberg Alexey Radul Kostas Stathis Vikash K. Mansinghka GP 57 11 0 17 Dec 2015
The Automatic Statistician: A Relational Perspective Yunseong Hwang Anh Tong Jaesik Choi AI4TS 54 5 0 26 Nov 2015
Scalable Gaussian Processes for Characterizing Multidimensional Change Surfaces William Herlands A. Wilson H. Nickisch Seth Flaxman Daniel B. Neill Wilbert Van Panhuis Eric Xing 44 32 0 13 Nov 2015
Deep Kernel Learning A. Wilson Zhiting Hu Ruslan Salakhutdinov Eric Xing BDL 288 890 0 06 Nov 2015
Big Learning with Bayesian Methods Jun Zhu Jianfei Chen Wenbo Hu Bo Zhang BDL 534 84 0 24 Nov 2014