Autoencoding Random Forests

27 May 2025

Papers citing "Autoencoding Random Forests"

32 / 32 papers shown

Title
Inference with Mondrian Random Forests M. D. Cattaneo Jason M. Klusowski W. Underwood 78 8 0 15 Oct 2023
Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space Hengrui Zhang Jiani Zhang Balasubramaniam Srinivasan Zhengyuan Shen Xiao Qin Christos Faloutsos Huzefa Rangwala George Karypis DiffM 52 96 0 14 Oct 2023
Language Modeling Is Compression Grégoire Delétang Anian Ruoss Paul-Ambroise Duquenne Elliot Catt Tim Genewein ... Wenliang Kevin Li Matthew Aitchison Laurent Orseau Marcus Hutter J. Veness AI4CE 76 139 0 19 Sep 2023
Adversarial random forests for density estimation and generative modeling David S. Watson Kristin Blesch Jan Kapar Marvin N. Wright GAN 74 21 0 19 May 2022
Exploration in Deep Reinforcement Learning: A Survey Pawel Ladosz Lilian Weng Minwoo Kim H. Oh OffRL 48 334 0 02 May 2022
Kernel PCA with the Nyström method Fredrik Hallgren 18 2 0 12 Sep 2021
Tabular Data: Deep Learning is Not All You Need Ravid Shwartz-Ziv Amitai Armon LMTD 100 1,233 0 06 Jun 2021
Joints in Random Forests Alvaro H. C. Correia Robert Peharz Cassio de Campos TPM 23 34 0 25 Jun 2020
On Completeness-aware Concept-Based Explanations in Deep Neural Networks Chih-Kuan Yeh Been Kim Sercan O. Arik Chun-Liang Li Tomas Pfister Pradeep Ravikumar FAtt 176 302 0 17 Oct 2019
Modeling Tabular data using Conditional GAN Lei Xu Maria Skoularidou Alfredo Cuesta-Infante K. Veeramachaneni CML MU SyDa GAN 79 1,232 0 01 Jul 2019
Learning Interpretable Characteristic Kernels via Decision Forests Sambit Panda Cencheng Shen Joshua T. Vogelstein 48 6 0 30 Nov 2018
Distilling a Neural Network Into a Soft Decision Tree Nicholas Frosst Geoffrey E. Hinton 212 635 0 27 Nov 2017
AutoEncoder by Forest Ji Feng Zhi Zhou AI4CE 42 63 0 26 Sep 2017
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 96 2,792 0 19 Aug 2017
Generalized Random Forests Susan Athey J. Tibshirani Stefan Wager 129 1,348 0 05 Oct 2016
The Mondrian Kernel Matej Balog Balaji Lakshminarayanan Zoubin Ghahramani Daniel M. Roy Yee Whye Teh 88 27 0 16 Jun 2016
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 361 37,815 0 09 Mar 2016
A Random Forest Guided Tour Gérard Biau Erwan Scornet AI4TS 172 2,784 0 18 Nov 2015
Estimation and Inference of Heterogeneous Treatment Effects using Random Forests Stefan Wager Susan Athey SyDa CML 150 2,474 0 14 Oct 2015
ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R Marvin N. Wright A. Ziegler 210 2,760 0 18 Aug 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 241 19,523 0 09 Mar 2015
Random forests and kernel methods Erwan Scornet 117 229 0 12 Feb 2015
On the asymptotics of random forests Erwan Scornet 30 88 0 07 Sep 2014
OpenML: networked science in machine learning Joaquin Vanschoren Jan N. van Rijn B. Bischl Luís Torgo FedML AI4CE 100 1,310 0 29 Jul 2014
Mondrian Forests: Efficient Online Random Forests Balaji Lakshminarayanan Daniel M. Roy Yee Whye Teh 48 216 0 10 Jun 2014
The Random Forest Kernel and other kernels for big data from random partitions Alex O. Davies Zoubin Ghahramani 98 65 0 18 Feb 2014
Narrowing the Gap: Random Forests In Theory and In Practice Misha Denil David Matheson Nando de Freitas 114 229 0 04 Oct 2013
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 184 12,384 0 24 Jun 2012
Analysis of a Random Forests Model Gérard Biau 88 1,390 0 03 May 2010
Universality, Characteristic Kernels and RKHS Embedding of Measures Bharath K. Sriperumbudur Kenji Fukumizu Gert R. G. Lanckriet 157 526 0 03 Mar 2010
A Kernel Method for the Two-Sample Problem Arthur Gretton Karsten Borgwardt Malte J. Rasch Bernhard Schölkopf Alex Smola 169 2,352 0 15 May 2008
A Tutorial on Spectral Clustering U. V. Luxburg 197 10,497 0 01 Nov 2007