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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

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124
394
151
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Papers (including subtopics)

Word Embedding as Maximum A Posteriori Estimation AAAI 2019
Unbiased Implicit Variational Inference AISTATS 2019
Subspace Inference for Bayesian Deep Learning UAI 2019
Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes NIPS 2019
Generalized Score Matching for Non-Negative Data JMLR 2019
Probability Functional Descent: A Unifying Perspective on GANs, Variational Inference, and Reinforcement Learning ICML 2019
A Generative Adversarial Density Estimator CVPR 2019
Copula Multi-label Learning NIPS 2019
Enhancing Variational Autoencoders with Mutual Information Neural Estimation for Text Generation IJCNLP 2019
Maximum Likelihood for Gaussian Process Classification and Generalized Linear Mixed Models under Case-Control Sampling JMLR 2019
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model NIPS 2019
Neural Gaussian Copula for Variational Autoencoder EMNLP 2019
Dependency Grammar Induction with a Neural Variational Transition-Based Parser AAAI 2019
Convergence Guarantees for Adaptive Bayesian Quadrature Methods NIPS 2019
Switching Linear Dynamics for Variational Bayes Filtering ICML 2019
Learning Flexible Latent Representations via Encapsulated Variational Encoders AAAI 2019
Bias-Variance Trade-Off in Hierarchical Probabilistic Models Using Higher-Order Feature Interactions AAAI 2019
A Generalization Bound for Online Variational Inference ACML 2019
On Asymptotic and Finite-Time Optimality of Bayesian Predictors JMLR 2019
Geometric Hawkes Processes with Graph Convolutional Recurrent Neural Networks AAAI 2019
Variational Training for Large-Scale Noisy-OR Bayesian Networks UAI 2019
Countdown Regression: Sharp and Calibrated Survival Predictions UAI 2019
Optimizing Sequences of Probabilistic Manipulation Skills Learned from Demonstration CORL 2019
DPPy: DPP Sampling with Python JMLR 2019
Epsilon-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning UAI 2019