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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4
14
4
10
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88
79
95
142
123
184
213
208
164
201
204
276
303
411
345
414
327
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308
112
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Papers (including subtopics)
Practical Two-Step Lookahead Bayesian Optimization
NeurIPS 2019
Precision-Recall Balanced Topic Modelling
NeurIPS 2019
Predicting Humorousness and Metaphor Novelty with Gaussian Process Preference Learning
ACL 2019
Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data
AAAI 2019
Prediction Risk for the Horseshoe Regression
JMLR 2019
Probabilistic-Logic Bots for Efficient Evaluation of Business Rules Using Conversational Interfaces
AAAI 2019
Probabilistic Logic Programming with Beta-Distributed Random Variables
AAAI 2019
Probabilistic Permutation Synchronization Using the Riemannian Structure of the Birkhoff Polytope
CVPR 2019
Probabilistic Programming for Birth-Death Models of Evolution Using an Alive Particle Filter with Delayed Sampling
UAI 2019
Probability Functional Descent: A Unifying Perspective on GANs, Variational Inference, and Reinforcement Learning
ICML 2019
Pseudo-Extended Markov chain Monte Carlo
NeurIPS 2019
Random Clique Covers for Graphs with Local Density and Global Sparsity
UAI 2019
Randomized Value Functions via Multiplicative Normalizing Flows
UAI 2019
Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning
UAI 2019
Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry Suffices
NeurIPS 2019
Reachable Space Characterization of Markov Decision Processes with Time Variability
RSS 2019
Read, Attend and Comment: A Deep Architecture for Automatic News Comment Generation
EMNLP 2019
Real-Time Information-Theoretic Exploration with Gaussian Mixture Model Maps
RSS 2019
Real-Time Robotic Search using Structural Spatial Point Processes
UAI 2019
Reasoning Visual Dialogs With Structural and Partial Observations
CVPR 2019
Recommendation from Raw Data with Adaptive Compound Poisson Factorization
UAI 2019
Recovering Bandits
NeurIPS 2019
Regret Bounds for Thompson Sampling in Episodic Restless Bandit Problems
NeurIPS 2019
Reparameterizing Distributions on Lie Groups
AISTATS 2019
Revisiting Reweighted Wake-Sleep for Models with Stochastic Control Flow
UAI 2019