vveitch / causal-embeddings
Code for "Using Embeddings to Correct for Unobserved Confounding"
☆10Updated 5 years ago
Related projects: ⓘ
- Python code for implementing embeddings in the Wasserstein space of elliptical distributions☆10Updated 4 years ago
- Non-stationary Off-policy Evaluation☆13Updated 5 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆28Updated 6 years ago
- gFM: An Efficient Solver for generalized Factorization Machine☆8Updated 7 years ago
- Context Selection for Embedding Models☆27Updated 6 years ago
- Code accompanying our paper at AISTATS 2020☆21Updated 3 years ago
- Counterfactual Evaluation and Learning for Interactive Systems: Foundations, Implementations, and Recent Advances☆12Updated 2 years ago
- Source code for our paper "Joint Policy-Value Learning for Recommendation" published at KDD 2020.☆22Updated last year
- Implementation of provably Rawlsian fair ML algorithms for contextual bandits.☆14Updated 7 years ago
- ☆16Updated 3 years ago
- Exponential family embeddings (Poisson or Bernoulli) for discrete data☆32Updated 5 years ago
- Movies Recommendation with Hierarchical Poisson Factorization in Edward☆18Updated 7 years ago
- ☆11Updated 8 years ago
- ☆33Updated this week
- A Pytorch implementation of "Deep Learning with Logged Bandit Feedback"☆10Updated 6 years ago
- (WSDM2022 Best Paper Award Runner-Up) "Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model"☆13Updated last year
- Python package for the paper "Inductive Document Network Embedding with Topic-Word Attention" (https://arxiv.org/pdf/2001.03369.pdf)☆17Updated last year
- Deep Weighted Averaging Classifiers☆23Updated 5 years ago
- ☆10Updated 4 years ago
- Implementation of Counterfactual risk minimization☆26Updated 7 years ago
- Density Order Embeddings☆33Updated 5 years ago
- Semi-synthetic experiments to test several approaches for off-policy evaluation and optimization of slate recommenders.☆43Updated 6 years ago
- The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"☆19Updated 8 years ago
- ☆16Updated this week
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10Updated 6 years ago
- NPHC☆14Updated 3 years ago
- Software relating to relational empirical risk minimization☆17Updated 3 years ago
- Scalable GP Adapter for Time Series Classification☆13Updated 7 years ago
- Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms☆14Updated 2 years ago
- Reference implementation of algorithms for reinforcement learning and Markov decision processes.☆11Updated 3 years ago