Bayesian & Probabilistic

Probabilistic Integral Circuits AISTATS 2024 Probabilistic Modeling for Sequences of Sets in Continuous-Time AISTATS 2024 Probabilistic Neural Circuits AAAI 2024 Probabilistic reconciliation of mixed-type hierarchical time series UAI 2024 Probabilistic size-and-shape functional mixed models NeurIPS 2024 Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks NeurIPS 2024 Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo ICLR 2024 Provable Posterior Sampling with Denoising Oracles via Tilted Transport NeurIPS 2024 Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction NeurIPS 2024 Putting Back the Stops: Integrating Syntax with Neural Topic Models IJCAI 2024 Q-conjugate Message Passing for Efficient Bayesian Inference PGM 2024 QCS-SGM+: Improved Quantized Compressed Sensing with Score-Based Generative Models AAAI 2024 Qualitative Mechanism Independence NeurIPS 2024 Quasi-Bayes meets Vines NeurIPS 2024 QUEST: Quality-Aware Metropolis-Hastings Sampling for Machine Translation NeurIPS 2024 Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning NeurIPS 2024 Relaxing the Additivity Constraints in Decentralized No-Regret High-Dimensional Bayesian Optimization ICLR 2024 Response Time Improves Gaussian Process Models for Perception and Preferences UAI 2024 Riemannian Laplace Approximation with the Fisher Metric AISTATS 2024 Risk Seeking Bayesian Optimization under Uncertainty for Obtaining Extremum AISTATS 2024 Risk-sensitive control as inference with Rényi divergence NeurIPS 2024 Robust Entropy Search for Safe Efficient Bayesian Optimization UAI 2024 Robust exploration with adversary via Langevin Monte Carlo L4DC 2024 Robust Gaussian Processes via Relevance Pursuit NeurIPS 2024 Robustly Train Normalizing Flows via KL Divergence Regularization AAAI 2024