rtm2130 / MSTLinks
Package for building Market Segmentation Trees, Choice Model Trees, and Isotonic Regression Trees
☆17Updated 2 years ago
Alternatives and similar repositories for MST
Users that are interested in MST are comparing it to the libraries listed below
Sorting:
- Replication Code for Paper "Stochastic Optimization Forests".☆21Updated 3 years ago
- A package for tree-based statistical estimation and inference using optimal decision trees.☆41Updated last year
- MIE424 Group Project: smart_predict_optimize☆14Updated 4 years ago
- Code for the paper "Smart 'Predict, then Optimize'"☆84Updated last year
- ☆33Updated 4 years ago
- ☆14Updated last year
- Software package for intertemporal pricing optimization under reference effects and consumer heterogeneity estimation. Please see REAMDE.…☆10Updated last year
- ☆11Updated 4 years ago
- Code accompanying our ICML 2020 paper on choice set optimization in group decision-making.☆11Updated 5 years ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Updated 2 years ago
- Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"☆34Updated 4 years ago
- Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"☆39Updated last year
- Code for "Explainable Data-Driven Optimization" (ICML 2023)☆14Updated 2 years ago
- OCEAN: Optimal Counterfactual Explanations in Tree Ensembles (ICML 2021)☆26Updated last week
- Codes for the paper "Data-Driven Sample Average Approximation with Covariate Information"☆12Updated 3 years ago
- Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems☆18Updated 2 years ago
- ☆17Updated 4 years ago
- Source code for our paper "Pessimistic Decision-Making for Recommender Systems" published at ACM TORS, and RecSys 2021.☆11Updated 2 years ago
- ☆26Updated last year
- Online Convex Optimization algorithms in Python☆12Updated 3 years ago
- ☆12Updated 3 years ago
- Code for the paper "Predict-then-optimize or predict-and-optimize? An empirical evaluation of cost-sensitive learning strategies".☆18Updated last year
- (RecSys2020) "Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions"☆24Updated 2 years ago
- Code for "Counterfactual Explanations in Sequential Decision Making Under Uncertainty", NeurIPS 2021☆16Updated 2 years ago
- Code associated with paper: Plug-in Regularized Estimation of High-Dimensional Parameters in Nonlinear Semiparametric Models, Chernozhuk…☆16Updated 4 years ago
- codes for the paper Deep Learning Based Casual Inference for Combinatorial Experiments☆14Updated 6 months ago
- Bandit algorithms for dynamic pricing of many products☆42Updated 5 years ago
- Materials for "RL for Inventory Optimization", Day 4 of the "RL for Operations Bootcamp", Kellogg School of Management, Northwestern Univ…☆17Updated last year
- Dynamic Pricing BwK Problem and Reinforcement Learning☆31Updated 6 years ago
- Enhancing Discrete Choice Models with Learning Representation : The Learning MultiNomial Logit☆42Updated 6 years ago