Co-occurring keywords · papers mentioning both
Papers
Adaptive Neural Trees
ICML 2019
A Gradient-Based Split Criterion for Highly Accurate and Transparent Model Trees
IJCAI 2019
AugBoost: Gradient Boosting Enhanced with Step-Wise Feature Augmentation
IJCAI 2019
Complete Search for Feature Selection in Decision Trees
JMLR 2019
Desiderata for Interpretability: Explaining Decision Tree Predictions with Counterfactuals
AAAI 2019
Dictionaries and Decision Trees for the 2019 CLPsych Shared Task
NAACL 2019
Efficiently Learning Fourier Sparse Set Functions
NeurIPS 2019
FAHT: An Adaptive Fairness-aware Decision Tree Classifier
IJCAI 2019
Incorporating Grouping Information into Bayesian Decision Tree Ensembles
ICML 2019
Inter-node Hellinger Distance based Decision Tree
IJCAI 2019
Interpreting CNNs via Decision Trees
CVPR 2019
Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making
AAAI 2019
Learning Optimal Classification Trees Using a Binary Linear Program Formulation
AAAI 2019
Lossless or Quantized Boosting with Integer Arithmetic
ICML 2019
Measuring Text Complexity for Italian as a Second Language Learning Purposes
ACL 2019
Minimal Variance Sampling in Stochastic Gradient Boosting
NeurIPS 2019
MonoForest framework for tree ensemble analysis
NeurIPS 2019
Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation System
AAAI 2019
Optimal Decision Tree with Noisy Outcomes
NeurIPS 2019
Optimal Sparse Decision Trees
NeurIPS 2019
Optimization of Hierarchical Regression Model with Application to Optimizing Multi-Response Regression K-ary Trees
AAAI 2019
Predicting Unsolvable Deals in the Birds of a Feather Solitaire Game
AAAI 2019
SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules
MLHC 2019
Stochastic Gradient Trees
ACML 2019
Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers
NeurIPS 2019