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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

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Papers (including subtopics)

Bayesian Persuasion in Sequential Decision-Making AAAI 2022
Barrier Bayesian Linear Regression: Online Learning of Control Barrier Conditions for Safety-Critical Control of Uncertain Systems L4DC 2022
Thompson Sampling for (Combinatorial) Pure Exploration ICML 2022
DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data IJCAI 2022
Bayesian Classifier Fusion with an Explicit Model of Correlation AISTATS 2022
Improving Evidential Deep Learning via Multi-Task Learning AAAI 2022
Dynamic 3D Gaze From Afar: Deep Gaze Estimation From Temporal Eye-Head-Body Coordination CVPR 2022
Out of Distribution Data Detection Using Dropout Bayesian Neural Networks AAAI 2022
Learning Tractable Probabilistic Models from Inconsistent Local Estimates NIPS 2022
Multivariate Quantile Function Forecaster AISTATS 2022
TopWORDS-Seg: Simultaneous Text Segmentation and Word Discovery for Open-Domain Chinese Texts via Bayesian Inference ACL 2022
Motron: Multimodal Probabilistic Human Motion Forecasting CVPR 2022
Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense ICML 2022
Privacy for Free: How does Dataset Condensation Help Privacy? ICML 2022
Robust Neural Posterior Estimation and Statistical Model Criticism NIPS 2022
Bias aware probabilistic Boolean matrix factorization UAI 2022
Memory Augmented State Space Model for Time Series Forecasting IJCAI 2022
A Nonconvex Framework for Structured Dynamic Covariance Recovery JMLR 2022
Gauss-Legendre Features for Gaussian Process Regression JMLR 2022
Particle-Based Score Estimation for State Space Model Learning in Autonomous Driving CORL 2022
Discrete Tree Flows via Tree-Structured Permutations ICML 2022
All You Need is a Good Functional Prior for Bayesian Deep Learning JMLR 2022
Flow-Adapter Architecture for Unsupervised Machine Translation ACL 2022
Explaining Deep Tractable Probabilistic Models: The sum-product network case PGM 2022
A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits NIPS 2022