conftrace_
← Artificial Intelligence
Artificial Intelligence ›

Bayesian & Probabilistic

4,335 papers (2 classified directly here)

Subtopics

Probabilistic Modeling (2,599) Bayesian Learning (1,663) Bayesian Inference (523) Variational Inference (107) Gaussian Processes (6) Bayesian Networks (5)

Papers per year

1
9
114
135
395
144
'00
'05
'10
'15
'20
'25

Papers (including subtopics)

Comparative Study of Parametric and Representation Uncertainty Modeling for Recurrent Neural Network Language Models INTERSPEECH 2019
Unobserved Is Not Equal to Non-existent: Using Gaussian Processes to Infer Immediate Rewards Across Contexts IJCAI 2019
Lifted Hinge-Loss Markov Random Fields AAAI 2019
Robustness Guarantees for Bayesian Inference with Gaussian Processes AAAI 2019
Variational Inference for sparse network reconstruction from count data ICML 2019
Toeplitz Inverse Covariance Based Robust Speaker Clustering for Naturalistic Audio Streams INTERSPEECH 2019
Multi-task Learning for Aggregated Data using Gaussian Processes NIPS 2019
Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs AAAI 2019
Efficient Bayesian Optimization for Target Vector Estimation AISTATS 2019
A Flexible Framework for Multi-Objective Bayesian Optimization using Random Scalarizations UAI 2019
Bayesian Joint Spike-and-Slab Graphical Lasso ICML 2019
Variational Hierarchical User-based Conversation Model EMNLP 2019
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables ICML 2019
Cost Effective Active Search NIPS 2019
Metropolis-Hastings Generative Adversarial Networks ICML 2019
Lifted Weight Learning of Markov Logic Networks Revisited AISTATS 2019
Bayesian Batch Active Learning as Sparse Subset Approximation NIPS 2019
Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design AISTATS 2019
A neurally plausible model for online recognition and postdiction in a dynamical environment NIPS 2019
Bernoulli Race Particle Filters AISTATS 2019
The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal Graphs ICCV 2019
Embarrassingly Parallel Inference for Gaussian Processes JMLR 2019
Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds EMNLP 2019
The Relative Complexity of Maximum Likelihood Estimation, MAP Estimation, and Sampling COLT 2019
On Fenchel Mini-Max Learning NIPS 2019