rtm2130 / MST
Package for building Market Segmentation Trees, Choice Model Trees, and Isotonic Regression Trees
☆15Updated last year
Related projects ⓘ
Alternatives and complementary repositories for MST
- Replication Code for Paper "Stochastic Optimization Forests".☆19Updated 3 years ago
- MIE424 Group Project: smart_predict_optimize☆13Updated 3 years ago
- ☆28Updated 4 years ago
- ☆10Updated 3 years ago
- Enhancing Discrete Choice Models with Learning Representation : The Learning MultiNomial Logit☆35Updated 5 years ago
- Code accompanying our ICML 2020 paper on choice set optimization in group decision-making.☆11Updated 4 years ago
- ☆9Updated last year
- Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"☆36Updated 4 months ago
- Data-Driven operations management - https://d3group.github.io/ddop☆16Updated 5 months ago
- ☆15Updated 3 years ago
- Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems☆17Updated last year
- Source code for Hierarchical Probabilistic Forecasting of Electricity Demand with Smart Meter Data by Ben Taieb, Souhaib, Taylor, James, …☆10Updated 5 years ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Updated last year
- ☆16Updated last year
- Code for the paper "Smart 'Predict, then Optimize'"☆66Updated 3 months ago
- Bandit algorithms for dynamic pricing of many products☆37Updated 5 years ago
- Materials for "RL for Inventory Optimization", Day 4 of the "RL for Operations Bootcamp", Kellogg School of Management, Northwestern Univ…☆15Updated 4 months ago
- Code associated with paper: Plug-in Regularized Estimation of High-Dimensional Parameters in Nonlinear Semiparametric Models, Chernozhuk…☆15Updated 3 years ago
- Experiments with distributionally robust optimization (DRO) for deep neural networks☆32Updated 5 years ago
- A package for tree-based statistical estimation and inference using optimal decision trees.☆39Updated 4 months ago
- Dynamic Pricing BwK Problem and Reinforcement Learning☆29Updated 5 years ago
- Software package for intertemporal pricing optimization under reference effects and consumer heterogeneity estimation. Please see REAMDE.…☆10Updated 8 months ago
- ☆11Updated 3 years ago
- ☆27Updated 2 months ago
- Codes for the paper "Data-Driven Sample Average Approximation with Covariate Information"☆11Updated 2 years ago
- Multiple Generalized Additive Models implemented in Python (EBM, XGB, Spline, FLAM). Code for our KDD 2021 paper "How Interpretable and T…☆12Updated 3 years ago
- tvopt is a prototyping and benchmarking Python framework for time-varying (or online) optimization.☆13Updated last year
- Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"☆27Updated 3 years ago
- Code for Shopper, a probabilistic model of shopping baskets☆52Updated 4 years ago
- OCEAN: Optimal Counterfactual Explanations in Tree Ensembles (ICML 2021)☆20Updated 9 months ago