Bayesian & Probabilistic
4,733 papers (2 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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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