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Methodology
← Optimization & Theory
Machine Learning
›
Optimization & Theory
›
Bayesian Inference
4821 directly classified papers
Papers per year
2001: 1
2002: 1
2003: 5
2004: 2
2005: 9
2006: 22
2007: 32
2008: 36
2009: 38
2010: 72
2011: 86
2012: 85
2013: 148
2014: 179
2015: 162
2016: 183
2017: 255
2018: 278
2019: 458
2020: 469
2021: 554
2022: 477
2023: 576
2024: 348
2025: 255
2026: 90
Papers
Probabilistic Numerical Method of Lines for Time-Dependent Partial Differential Equations
AISTATS 2022
Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap
AISTATS 2022
Feature Generation and Hypothesis Verification for Reliable Face Anti-spoofing
AAAI 2022
Bounding the Error of Discretized Langevin Algorithms for Non-Strongly Log-Concave Targets
JMLR 2022
Sketching a Linguistically-Driven Reasoning Dialog Model for Social Talk
ACL 2022
Importance Weighted Kernel Bayes’ Rule
ICML 2022
Variational nearest neighbor Gaussian process
ICML 2022
Preconditioning for Scalable Gaussian Process Hyperparameter Optimization
ICML 2022
Path-Gradient Estimators for Continuous Normalizing Flows
ICML 2022
A Completely Tuning-Free and Robust Approach to Sparse Precision Matrix Estimation
ICML 2022
Probing as Quantifying Inductive Bias
ACL 2022
Learning the Beauty in Songs: Neural Singing Voice Beautifier
ACL 2022
Efficient Distributionally Robust Bayesian Optimization with Worst-case Sensitivity
ICML 2022
Sequential and Parallel Constrained Max-value Entropy Search via Information Lower Bound
ICML 2022
Distributionally-Aware Kernelized Bandit Problems for Risk Aversion
ICML 2022
Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders
ICML 2022
A General Recipe for Likelihood-free Bayesian Optimization
ICML 2022
A Unified View on PAC-Bayes Bounds for Meta-Learning
ICML 2022
Nonparametric Involutive Markov Chain Monte Carlo
ICML 2022
BAMDT: Bayesian Additive Semi-Multivariate Decision Trees for Nonparametric Regression
ICML 2022
Bayesian Nonparametric Learning for Point Processes with Spatial Homogeneity: A Spatial Analysis of NBA Shot Locations
ICML 2022
Langevin Monte Carlo for Contextual Bandits
ICML 2022
Accurate Quantization of Measures via Interacting Particle-based Optimization
ICML 2022
Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian Inference
AISTATS 2022
Self-Aware Personalized Federated Learning
NIPS 2022
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