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Bayesian & Probabilistic

4,733 papers (2 classified directly here)

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Papers (including subtopics)

Probabilistic Inference in Reinforcement Learning Done Right NeurIPS 2023 Probabilistic Querying of Continuous-Time Event Sequences AISTATS 2023 Probabilistic Reasoning and Learning for Trustworthy AI AAAI 2023 Probabilistic Tree-of-thought Reasoning for Answering Knowledge-intensive Complex Questions EMNLP 2023 Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models ICML 2023 PROTES: Probabilistic Optimization with Tensor Sampling NeurIPS 2023 Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation NeurIPS 2023 Random Grid Neural Processes for Parametric Partial Differential Equations ICML 2023 Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds ICML 2023 Recovering Top-Two Answers and Confusion Probability in Multi-Choice Crowdsourcing ICML 2023 Regularization for Shuffled Data Problems via Exponential Family Priors on the Permutation Group AISTATS 2023 Regularized Joint Mixture Models JMLR 2023 Reinforcement Causal Structure Learning on Order Graph AAAI 2023 Reparameterized Policy Learning for Multimodal Trajectory Optimization ICML 2023 Resolving the Mixing Time of the Langevin Algorithm to its Stationary Distribution for Log-Concave Sampling COLT 2023 Rethinking skip connection model as a learnable Markov chain ICLR 2023 Retrospective Uncertainties for Deep Models using Vine Copulas AISTATS 2023 Revisiting Structured Variational Autoencoders ICML 2023 RevUp: Revise and Update Information Bottleneck for Event Representation EACL 2023 Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws AISTATS 2023 Robust and Adaptive Deep Learning via Bayesian Principles AAAI 2023 Robust and Scalable Gaussian Process Regression and Its Applications CVPR 2023 Sampling-Based Accuracy Testing of Posterior Estimators for General Inference ICML 2023 Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent NeurIPS 2023 Sampling with Mollified Interaction Energy Descent ICLR 2023