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Bayesian & Probabilistic

3,963 papers (2 classified directly here)

Subtopics

Probabilistic Modeling (2,252) Variational Inference (802) Gaussian Processes (570) Bayesian Learning (455) Bayesian Optimization (221) Markov Chain Monte Carlo (143) Nonparametric Bayesian (86) Bayesian Networks (81) Conditional Random Fields (5)

Papers per year

9
118
124
394
151
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Papers (including subtopics)

Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation CVPR 2021
Streaming Belief Propagation for Community Detection NIPS 2021
Top-k Ranking Bayesian Optimization AAAI 2021
On Energy-Based Models with Overparametrized Shallow Neural Networks ICML 2021
Information Directed Sampling for Sparse Linear Bandits NIPS 2021
Isometric Gaussian Process Latent Variable Model for Dissimilarity Data ICML 2021
Streaming Bayesian Deep Tensor Factorization ICML 2021
Learning Deep Latent Variable Models by Short-Run MCMC Inference With Optimal Transport Correction CVPR 2021
Lenient Regret and Good-Action Identification in Gaussian Process Bandits ICML 2021
Causal Inference with Selectively Deconfounded Data AISTATS 2021
On the difficulty of unbiased alpha divergence minimization ICML 2021
Improving Causal Discovery By Optimal Bayesian Network Learning AAAI 2021
Prediction by Anticipation: An Action-Conditional Prediction Method Based on Interaction Learning ICCV 2021
Consistency of Gaussian Process Regression in Metric Spaces JMLR 2021
Concentric mixtures of Mallows models for top-$k$ rankings: sampling and identifiability ICML 2021
Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL NIPS 2021
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions NIPS 2021
Probabilistic Tensor Decomposition of Neural Population Spiking Activity NIPS 2021
Combinatorial Gaussian Process Bandits with Probabilistically Triggered Arms AISTATS 2021
Estimating High Order Gradients of the Data Distribution by Denoising NIPS 2021
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search ICML 2021
Soft Tensor Regression JMLR 2021
Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data AISTATS 2021
Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation ICML 2021
Flow-Based Kernel Prior With Application to Blind Super-Resolution CVPR 2021