Bayesian Inference
6,267 papers
Papers per year
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11
53
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63
64
104
109
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218
177
229
285
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512
544
613
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Papers
Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging
CVPR 2021
Deep kernel processes
ICML 2021
Deep kernels with probabilistic embeddings for small-data learning
UAI 2021
Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging
AAAI 2021
DeFlow: Learning Complex Image Degradations From Unpaired Data With Conditional Flows
CVPR 2021
De-randomizing MCMC dynamics with the diffusion Stein operator
NeurIPS 2021
Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning
NeurIPS 2021
Detecting English Speech in the Air Traffic Control Voice Communication
Interspeech 2021
DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts
ACL 2021
DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs
ICML 2021
Diagnostics for conditional density models and Bayesian inference algorithms
UAI 2021
Diagnostic Uncertainty Calibration: Towards Reliable Machine Predictions in Medical Domain
AISTATS 2021
DiBS: Differentiable Bayesian Structure Learning
NeurIPS 2021
DIBS: Diversity Inducing Information Bottleneck in Model Ensembles
AAAI 2021
Differentiable Annealed Importance Sampling and the Perils of Gradient Noise
NeurIPS 2021
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport
ICML 2021
Differentially Private Bayesian Inference for Generalized Linear Models
ICML 2021
Differentially Private Federated Bayesian Optimization with Distributed Exploration
NeurIPS 2021
Differentially Private Quantiles
ICML 2021
Differentially Private Regression and Classification with Sparse Gaussian Processes
JMLR 2021
Differentially Private Sliced Wasserstein Distance
ICML 2021
Differential Privacy Dynamics of Langevin Diffusion and Noisy Gradient Descent
NeurIPS 2021
Direct Loss Minimization for Sparse Gaussian Processes
AISTATS 2021
Dirichlet Pruning for Convolutional Neural Networks
AISTATS 2021
DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting
RSS 2021