hanshengjiang / Reference_Effects
Software package for intertemporal pricing optimization under reference effects and consumer heterogeneity estimation. Please see REAMDE.md for more details.
☆10Updated last year
Alternatives and similar repositories for Reference_Effects:
Users that are interested in Reference_Effects are comparing it to the libraries listed below
- Data-Driven operations management - https://d3group.github.io/ddop☆16Updated 10 months ago
- ☆10Updated 4 years ago
- Package for building Market Segmentation Trees, Choice Model Trees, and Isotonic Regression Trees☆16Updated 2 years ago
- codes for the paper Deep Learning Based Casual Inference for Combinatorial Experiments☆11Updated 3 weeks ago
- ☆9Updated last year
- Code accompanying our ICML 2020 paper on choice set optimization in group decision-making.☆11Updated 4 years ago
- Replication Code for Paper "Stochastic Optimization Forests".☆19Updated 3 years ago
- MIE424 Group Project: smart_predict_optimize☆14Updated 3 years ago
- Materials for "RL for Inventory Optimization", Day 4 of the "RL for Operations Bootcamp", Kellogg School of Management, Northwestern Univ…☆14Updated 10 months ago
- Official implementation of "Predictive and Prescriptive Performance of Bike-Sharing Demand Forecasts for Inventory Management"☆19Updated 3 years ago
- OCEAN: Optimal Counterfactual Explanations in Tree Ensembles (ICML 2021)☆20Updated last year
- Bandit algorithms for dynamic pricing of many products☆40Updated 5 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
- ☆33Updated 4 years ago
- Python package for Feature-based Forecast Model Averaging (FFORMA).☆28Updated 4 years ago
- Codes for the paper "Data-Driven Sample Average Approximation with Covariate Information"☆11Updated 2 years ago
- Enhancing Discrete Choice Models with Learning Representation : The Learning MultiNomial Logit☆38Updated 5 years ago
- 2021 - Github companion to "Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics" (Springer Series in…☆36Updated 3 years ago
- Portfolio Optimization with Cumulative Prospect Theory Utility via Convex Optimization☆33Updated 11 months ago
- Code accompanying paper titled "Optimizing Revenue over Data-driven Assortments" (2021)☆24Updated 3 years ago
- Causal Inference for Time Series Data (with CausalML Demo)☆13Updated last year
- Code for "Counterfactual Explanations in Sequential Decision Making Under Uncertainty", NeurIPS 2021☆16Updated 2 years ago
- ☆9Updated 3 years ago
- the codes and some preliminary progress in the work of robust stochastic portfolio optimization☆11Updated 4 years ago
- Open source implementation of sDTM - supervised Deep Topic Model☆16Updated 3 years ago
- Implementation of "Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework" (JASA 2023)☆29Updated last year
- An optimization-based algorithm to accurately estimate the causal effects and robustly predict under distribution shifts. It leverages th…☆14Updated 9 months ago
- Code for Shopper, a probabilistic model of shopping baskets☆52Updated 4 years ago
- Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"☆39Updated 9 months ago
- Code and data for decision making under strategic behavior, NeurIPS 2020 & Management Science 2024.☆28Updated last year