Learning Binary Decision Trees by Argmin Differentiation

9 October 2020

Papers citing "Learning Binary Decision Trees by Argmin Differentiation"

39 / 39 papers shown

Title
A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees Haoran Zhu Pavankumar Murali Dzung Phan Lam M. Nguyen Jayant Kalagnanam 139 37 0 06 Nov 2020
Generalized and Scalable Optimal Sparse Decision Trees Jimmy J. Lin Chudi Zhong Diane Hu Cynthia Rudin Margo Seltzer 50 143 0 15 Jun 2020
Learning Optimal Classification Trees: Strong Max-Flow Formulations S. Aghaei A. Gómez P. Vayanos AI4CE 113 26 0 21 Feb 2020
The Tree Ensemble Layer: Differentiability meets Conditional Computation Hussein Hazimeh Natalia Ponomareva P. Mol Zhenyu Tan Rahul Mazumder UQCV AI4CE 339 79 0 18 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 173 12,065 0 13 Nov 2019
Differentiable Convex Optimization Layers Akshay Agrawal Brandon Amos Shane T. Barratt Stephen P. Boyd Steven Diamond Zico Kolter 83 653 0 28 Oct 2019
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations Zhenzhong Lan Mingda Chen Sebastian Goodman Kevin Gimpel Piyush Sharma Radu Soricut SSL AIMat 332 6,441 0 26 Sep 2019
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data Sergei Popov S. Morozov Artem Babenko LMTD 132 310 0 13 Sep 2019
Meta-Learning with Implicit Gradients Aravind Rajeswaran Chelsea Finn Sham Kakade Sergey Levine 94 854 0 10 Sep 2019
Optuna: A Next-generation Hyperparameter Optimization Framework Takuya Akiba Shotaro Sano Toshihiko Yanase Takeru Ohta Masanori Koyama 583 5,769 0 25 Jul 2019
Compound Probabilistic Context-Free Grammars for Grammar Induction Yoon Kim Chris Dyer Alexander M. Rush 40 152 0 24 Jun 2019
Learning Latent Trees with Stochastic Perturbations and Differentiable Dynamic Programming Caio Corro Ivan Titov 51 17 0 24 Jun 2019
Optimal Sparse Decision Trees Xiyang Hu Cynthia Rudin Margo Seltzer 103 174 0 29 Apr 2019
Unsupervised Recurrent Neural Network Grammars Yoon Kim Alexander M. Rush Lei Yu A. Kuncoro Chris Dyer Gábor Melis LRM RALM SSL 46 115 0 07 Apr 2019
Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making S. Aghaei Javad Azizi P. Vayanos FaML 47 177 0 25 Mar 2019
Quasi-hyperbolic momentum and Adam for deep learning Jerry Ma Denis Yarats ODL 123 129 0 16 Oct 2018
Towards Dynamic Computation Graphs via Sparse Latent Structure Vlad Niculae André F. T. Martins Claire Cardie 46 22 0 03 Sep 2018
Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a Structured Variational Autoencoder Caio Corro Ivan Titov BDL 40 56 0 25 Jul 2018
Adaptive Neural Trees Ryutaro Tanno Kai Arulkumaran Daniel C. Alexander A. Criminisi A. Nori 345 166 0 17 Jul 2018
Deep Neural Decision Trees Yongxin Yang Irene Garcia Morillo Timothy M. Hospedales PINN 51 184 0 19 Jun 2018
Attention, Learn to Solve Routing Problems! W. Kool H. V. Hoof Max Welling 112 1,202 0 22 Mar 2018
SparseMAP: Differentiable Sparse Structured Inference Vlad Niculae André F. T. Martins Mathieu Blondel Claire Cardie 43 122 0 12 Feb 2018
Random Hinge Forest for Differentiable Learning Nathan S. Lay Adam P. Harrison Sharon Schreiber Gitesh Dawer Adrian Barbu BDL 20 12 0 12 Feb 2018
Learning to Compose Task-Specific Tree Structures Jihun Choi Kang Min Yoo Sang-goo Lee 63 189 0 10 Jul 2017
Learning Structured Text Representations Yang Liu Mirella Lapata 50 152 0 25 May 2017
Jointly Learning Sentence Embeddings and Syntax with Unsupervised Tree-LSTMs Jean Maillard S. Clark Dani Yogatama 54 88 0 25 May 2017
Train longer, generalize better: closing the generalization gap in large batch training of neural networks Elad Hoffer Itay Hubara Daniel Soudry ODL 163 800 0 24 May 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 522 7,431 0 04 Apr 2017
OptNet: Differentiable Optimization as a Layer in Neural Networks Brandon Amos J. Zico Kolter 150 958 0 01 Mar 2017
Learning to Compose Words into Sentences with Reinforcement Learning Dani Yogatama Phil Blunsom Chris Dyer Edward Grefenstette Wang Ling NAI 58 159 0 28 Nov 2016
On Differentiating Parameterized Argmin and Argmax Problems with Application to Bi-level Optimization Stephen Gould Basura Fernando A. Cherian Peter Anderson Rodrigo Santa Cruz Edison Guo 49 224 0 19 Jul 2016
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 681 38,735 0 09 Mar 2016
Hyperparameter optimization with approximate gradient Fabian Pedregosa 95 449 0 07 Feb 2016
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter 285 5,518 0 23 Nov 2015
Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model Benjamin Letham Cynthia Rudin Tyler H. McCormick D. Madigan FAtt 60 743 0 05 Nov 2015
A cost function for similarity-based hierarchical clustering S. Dasgupta 52 195 0 16 Oct 2015
Train faster, generalize better: Stability of stochastic gradient descent Moritz Hardt Benjamin Recht Y. Singer 111 1,238 0 03 Sep 2015
Learning Graphical Model Parameters with Approximate Marginal Inference Justin Domke TPM 78 187 0 15 Jan 2013
Efficient Active Algorithms for Hierarchical Clustering A. Krishnamurthy Sivaraman Balakrishnan Min Xu Aarti Singh 75 88 0 18 Jun 2012