Decision Tree

Open Problem: Properly learning decision trees in polynomial time? COLT 2022 POETREE: Interpretable Policy Learning with Adaptive Decision Trees ICLR 2022 Building Decision Tree for Imbalanced Classification via Deep Reinforcement Learning ACML 2021 Certifying Robustness to Programmable Data Bias in Decision Trees NeurIPS 2021 Lattice partition recovery with dyadic CART NeurIPS 2021 Deep Dynamic Boosted Forest ACML 2020 Estimation and Inference with Trees and Forests in High Dimensions COLT 2020 ID3 Learns Juntas for Smoothed Product Distributions COLT 2020 PSForest: Improving Deep Forest via Feature Pooling and Error Screening ACML 2020 Stochastic Gradient Trees ACML 2019 Finding Optimal Bayesian Networks with Local Structure PGM 2018 A Communication-Efficient Parallel Algorithm for Decision Tree NeurIPS 2016 Learning Online Smooth Predictors for Realtime Camera Planning Using Recurrent Decision Trees CVPR 2016 Efficient Non-greedy Optimization of Decision Trees NeurIPS 2015 Learning From Small Samples: An Analysis of Simple Decision Heuristics NeurIPS 2015 Logarithmic Time Online Multiclass prediction NeurIPS 2015 Mondrian Forests: Efficient Online Random Forests NeurIPS 2014 Decision Jungles: Compact and Rich Models for Classification NeurIPS 2013 Regression-tree Tuning in a Streaming Setting NeurIPS 2013 Context-Sensitive Decision Forests for Object Detection NeurIPS 2012 Learning Partially Observable Models Using Temporally Abstract Decision Trees NeurIPS 2012 Graph-Valued Regression NeurIPS 2010 Tracking Dynamic Sources of Malicious Activity at Internet Scale NeurIPS 2009 Anytime Induction of Cost-sensitive Trees NeurIPS 2007 Feature Selection Methods for Improving Protein Structure Prediction with Rosetta NeurIPS 2007