neeharperi / PreferenceNetLinks
PreferenceNet: Encoding Human Preferences in Auction Design With Deep Learning
☆17Updated 4 years ago
Alternatives and similar repositories for PreferenceNet
Users that are interested in PreferenceNet are comparing it to the libraries listed below
Sorting:
- Code for "Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models" (ICML 2019)☆45Updated 5 years ago
- ☆32Updated 7 years ago
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆38Updated 3 years ago
- Code and data for decision making under strategic behavior, NeurIPS 2020 & Management Science 2024.☆29Updated last year
- PyTorch implementation of Probabilistic Network Ensembles on toy problems☆23Updated 2 years ago
- Code for "Neural causal learning from unknown interventions"☆104Updated 5 years ago
- ☆12Updated 6 years ago
- Project on Causal Machine learning CS 7290☆16Updated 6 years ago
- Code for NeurIPS 2021 paper: "Invariant Causal Imitation Learning for Generalizable Policies" by I. Bica, D. Jarrett, M. van der Schaar☆28Updated 3 years ago
- Offline Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits☆10Updated last year
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆24Updated 3 years ago
- ☆40Updated 7 years ago
- JAX/Haiku implementation of "Auction Learning as a Two-Player Game"☆11Updated last year
- Code for our ICML '19 paper: Neural Network Attributions: A Causal Perspective.☆51Updated 4 years ago
- Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"☆17Updated 6 years ago
- ☆48Updated 3 years ago
- ☆18Updated 4 years ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆37Updated 3 years ago
- Enhancing Discrete Choice Models with Learning Representation : The Learning MultiNomial Logit☆43Updated 6 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 4 years ago
- ☆30Updated 7 years ago
- Source code of "Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning" (AAMAS 2021).☆28Updated 4 years ago
- References at the Intersection of Causality and Reinforcement Learning☆90Updated 5 years ago
- Structural Causal Bandit☆26Updated 4 years ago
- Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"☆35Updated 4 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆54Updated 4 years ago
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆22Updated 4 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆35Updated 4 years ago
- Code for "Counterfactual Explanations in Sequential Decision Making Under Uncertainty", NeurIPS 2021☆16Updated 2 years ago
- ☆39Updated 6 years ago