gsbDBI / contextual_bandits_evaluationLinks
Offline Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits
☆10Updated last year
Alternatives and similar repositories for contextual_bandits_evaluation
Users that are interested in contextual_bandits_evaluation are comparing it to the libraries listed below
Sorting:
- Counterfactual Evaluation and Learning for Interactive Systems: Foundations, Implementations, and Recent Advances☆12Updated 3 years ago
- Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…☆18Updated 4 years ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆24Updated 3 years ago
- Project on Causal Machine learning CS 7290☆16Updated 6 years ago
- Software relating to relational empirical risk minimization☆17Updated 4 years ago
- Code accompanying our ICML 2020 paper on choice set optimization in group decision-making.☆11Updated 5 years ago
- ☆18Updated 9 months ago
- Code for "Using Embeddings to Correct for Unobserved Confounding"☆10Updated 6 years ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Updated 2 years ago
- A straightforward implementation of EGBM-based Generalized Additive Model☆14Updated 5 years ago
- ☆16Updated 3 years ago
- The code for the paper *The Sensitivity of Counterfactual Fairness to Unmeasured Confounding* @ UAI 2019☆14Updated 5 years ago
- Tutorial on Multi-Objective Recommender Systems @ KDD 2021☆19Updated 3 years ago
- SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks☆14Updated 2 years ago
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆25Updated 3 years ago
- Code and data for decision making under strategic behavior, NeurIPS 2020 & Management Science 2024.☆29Updated last year
- Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.☆20Updated 3 years ago
- Source code for our paper "Pessimistic Decision-Making for Recommender Systems" published at ACM TORS, and RecSys 2021.☆11Updated 3 years ago
- ☆12Updated 3 years ago
- Code for the paper "Optimal Off-Policy Evaluation from Multiple Logging Policies"☆15Updated 4 years ago
- ☆18Updated 4 years ago
- Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems☆20Updated 2 years ago
- An optimization-based algorithm to accurately estimate the causal effects and robustly predict under distribution shifts. It leverages th…☆14Updated last year
- ☆40Updated 7 years ago
- A Python library for working with and training Hidden Markov Models with Poisson emissions.☆10Updated 8 years ago
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆42Updated 3 years ago
- Package for building Market Segmentation Trees, Choice Model Trees, and Isotonic Regression Trees☆17Updated 2 years ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆29Updated 5 years ago
- (WSDM2022 Best Paper Award Runner-Up) "Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model"☆13Updated 2 years ago
- Python code for implementing embeddings in the Wasserstein space of elliptical distributions☆11Updated 5 years ago