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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)

Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism with Artificial Atoms NIPS 2021
Spectral Smoothing Unveils Phase Transitions in Hierarchical Variational Autoencoders ICML 2021
VaB-AL: Incorporating Class Imbalance and Difficulty With Variational Bayes for Active Learning CVPR 2021
Information Directed Sampling for Sparse Linear Bandits NIPS 2021
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series AAAI 2021
A sampling-based circuit for optimal decision making NIPS 2021
On Energy-Based Models with Overparametrized Shallow Neural Networks ICML 2021
A Computationally Efficient Method for Learning Exponential Family Distributions NIPS 2021
Composing Normalizing Flows for Inverse Problems ICML 2021
Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification CVPR 2021
The Impact of Data on the Stability of Learning-Based Control L4DC 2021
A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning NIPS 2021
Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes AISTATS 2021
Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation CVPR 2021
Variational Model-based Policy Optimization IJCAI 2021
Approximate implication with d-separation UAI 2021
Neural Relation Inference for Multi-dimensional Temporal Point Processes via Message Passing Graph IJCAI 2021
Optimal Order Simple Regret for Gaussian Process Bandits NIPS 2021
Streaming Belief Propagation for Community Detection NIPS 2021
Near-Optimal Data Source Selection for Bayesian Learning L4DC 2021
Generalized Doubly Reparameterized Gradient Estimators ICML 2021
Soft Tensor Regression JMLR 2021
Neural Temporal Point Processes: A Review IJCAI 2021
Wasserstein Distributional Normalization For Robust Distributional Certification of Noisy Labeled Data ICML 2021
Prediction by Anticipation: An Action-Conditional Prediction Method Based on Interaction Learning ICCV 2021