| PAC: Assisted Value Factorisation with Counterfactual Predictions in Multi-Agent Reinforcement Learning | Jun 22, 2022 | counterfactualMulti-agent Reinforcement Learning | CodeCode Available | 0 |
| Cold Posteriors through PAC-Bayes | Jun 22, 2022 | Bayesian InferenceGeneralization Bounds | —Unverified | 0 |
| Beyond Rewards: a Hierarchical Perspective on Offline Multiagent Behavioral Analysis | Jun 17, 2022 | MuJoCoStarcraft | —Unverified | 0 |
| Spherical Sliced-Wasserstein | Jun 17, 2022 | Density EstimationVariational Inference | CodeCode Available | 1 |
| Scaling multi-species occupancy models to large citizen science datasets | Jun 17, 2022 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Personalized Federated Learning via Variational Bayesian Inference | Jun 16, 2022 | Bayesian InferenceDiversity | CodeCode Available | 1 |
| Fast and Accurate Variational Inference for Large Bayesian VARs with Stochastic Volatility | Jun 16, 2022 | Variational Inference | —Unverified | 0 |
| Deep Variational Implicit Processes | Jun 14, 2022 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients | Jun 13, 2022 | Variational Inference | CodeCode Available | 0 |
| Variational Bayes Deep Operator Network: A data-driven Bayesian solver for parametric differential equations | Jun 12, 2022 | Bayesian InferenceOperator learning | —Unverified | 0 |
