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← Optimization & Theory
Machine Learning
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Optimization & Theory
›
Bayesian Inference
4,821 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
From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models
EMNLP 2022
Making Look-Ahead Active Learning Strategies Feasible with Neural Tangent Kernels
NIPS 2022
Adapting the Linearised Laplace Model Evidence for Modern Deep Learning
ICML 2022
Scalable Gaussian-process regression and variable selection using Vecchia approximations
JMLR 2022
Surrogate Likelihoods for Variational Annealed Importance Sampling
ICML 2022
Analyzing Lottery Ticket Hypothesis from PAC-Bayesian Theory Perspective
NIPS 2022
Thinned random measures for sparse graphs with overlapping communities
NIPS 2022
A Probabilistic Graph Coupling View of Dimension Reduction
NIPS 2022
Bayesian Change-Point Detection for Bandit Feedback in Non-stationary Environments
ACML 2022
Formal Synthesis of Safety Controllers for Unknown Stochastic Control Systems using Gaussian Process Learning
L4DC 2022
Repairing Neural Networks by Leaving the Right Past Behind
NIPS 2022
Understanding Dynamic Tactile Sensing for Liquid Property Estimation
RSS 2022
Pareto Set Learning for Expensive Multi-Objective Optimization
NIPS 2022
Infinite SCAN: An Infinite Model of Diachronic Semantic Change
EMNLP 2022
Maximum a posteriori natural scene reconstruction from retinal ganglion cells with deep denoiser priors
NIPS 2022
Obtaining Calibrated Probabilities with Personalized Ranking Models
AAAI 2022
PRISM: Probabilistic Real-Time Inference in Spatial World Models
CORL 2022
CoPur: Certifiably Robust Collaborative Inference via Feature Purification
NIPS 2022
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity
EMNLP 2022
Unifying Importance Based Regularisation Methods for Continual Learning
AISTATS 2022
Movement Penalized Bayesian Optimization with Application to Wind Energy Systems
NIPS 2022
The Neurally-Guided Shape Parser: Grammar-Based Labeling of 3D Shape Regions With Approximate Inference
CVPR 2022
Flow-based Recurrent Belief State Learning for POMDPs
ICML 2022
Human-AI Collaborative Bayesian Optimisation
NIPS 2022
A Sparsity-promoting Dictionary Model for Variational Autoencoders
INTERSPEECH 2022
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