conftrace_
← Optimization & Theory
Machine Learning › Optimization & Theory ›

Bayesian Inference

4,821 papers

Papers per year

Papers

A Unifying Bayesian Formulation of Measures of Interpretability in Human-AI Interaction IJCAI 2021
Few-Shot Learning via Feature Hallucination With Variational Inference WACV 2021
Modeling Bilingual Conversational Characteristics for Neural Chat Translation ACL 2021
Nested Variational Inference NIPS 2021
Quantifying the Privacy Risks of Learning High-Dimensional Graphical Models AISTATS 2021
Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval ICCV 2021
Information Bottleneck Disentanglement for Identity Swapping CVPR 2021
Procedure Planning in Instructional Videos via Contextual Modeling and Model-Based Policy Learning ICCV 2021
Is SGD a Bayesian sampler? Well, almost JMLR 2021
γ-ABC: Outlier-Robust Approximate Bayesian Computation Based on a Robust Divergence Estimator AISTATS 2021
Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations? AISTATS 2021
Scalable Inference in SDEs by Direct Matching of the Fokker–Planck–Kolmogorov Equation NIPS 2021
Bayesian Coresets: Revisiting the Nonconvex Optimization Perspective AISTATS 2021
Variational Inference for Learning Representations of Natural Language Edits AAAI 2021
A Data-Driven Approach for Gin Rummy Hand Evaluation AAAI 2021
Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs AAAI 2021
Differentially Private Sliced Wasserstein Distance ICML 2021
Tracking Disease Outbreaks from Sparse Data with Bayesian Inference AAAI 2021
COKE: Communication-Censored Decentralized Kernel Learning JMLR 2021
Kernel Continual Learning ICML 2021
When random initializations help: a study of variational inference for community detection JMLR 2021
Librispeech Transducer Model with Internal Language Model Prior Correction INTERSPEECH 2021
Local Differential Privacy for Bayesian Optimization AAAI 2021
Scalable Thompson Sampling using Sparse Gaussian Process Models NIPS 2021
Bayesian optimization for modular black-box systems with switching costs UAI 2021