Bayesian Inference
6,267 papers
Papers per year
2
2
6
4
11
53
56
63
64
104
109
129
201
218
177
229
285
325
512
544
613
573
658
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124
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Papers
Scalable Constrained Bayesian Optimization
AISTATS 2021
Scalable Gaussian Process Variational Autoencoders
AISTATS 2021
Scalable gradient matching based on state space Gaussian Processes
ACML 2021
Scalable Inference in SDEs by Direct Matching of the Fokker–Planck–Kolmogorov Equation
NeurIPS 2021
Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning
ICML 2021
Scalable Thompson Sampling using Sparse Gaussian Process Models
NeurIPS 2021
Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition
ICML 2021
Scaling Gaussian Processes with Derivative Information Using Variational Inference
NeurIPS 2021
Scaling Hamiltonian Monte Carlo inference for Bayesian neural networks with symmetric splitting
UAI 2021
Scallop: From Probabilistic Deductive Databases to Scalable Differentiable Reasoning
NeurIPS 2021
SDF-Bayes: Cautious Optimism in Safe Dose-Finding Clinical Trials with Drug Combinations and Heterogeneous Patient Groups
AISTATS 2021
Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs
ACL 2021
Self-Guided Community Detection on Networks with Missing Edges
IJCAI 2021
Semantic Linking Maps for Active Visual Object Search (Extended Abstract)
IJCAI 2021
Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization
AAAI 2021
Sequence-to-Sequence Learning for Deep Gaussian Process Based Speech Synthesis Using Self-Attention GP Layer
Interspeech 2021
Sequential core-set Monte Carlo
UAI 2021
Shadow Manifold Hamiltonian Monte Carlo
AISTATS 2021
Shape your Space: A Gaussian Mixture Regularization Approach to Deterministic Autoencoders
NeurIPS 2021
Shapley explainability on the data manifold
ICLR 2021
SHPOS: A Theoretical Guaranteed Accelerated Particle Optimization Sampling Method
IJCAI 2021
SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data
ICML 2021
Signaling in Bayesian Network Congestion Games: the Subtle Power of Symmetry
AAAI 2021
Simple and Effective Stochastic Neural Networks
AAAI 2021
SKIing on Simplices: Kernel Interpolation on the Permutohedral Lattice for Scalable Gaussian Processes
ICML 2021