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← Optimization & Theory
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Optimization & Theory
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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
Speeding up Magnetic Resonance Image Acquisition by Bayesian Multi-Slice Adaptive Compressed Sensing
NIPS 2009
A Neural Implementation of the Kalman Filter
NIPS 2009
Adaptive Design Optimization in Experiments with People
NIPS 2009
Perceptual Multistability as Markov Chain Monte Carlo Inference
NIPS 2009
Inter-domain Gaussian Processes for Sparse Inference using Inducing Features
NIPS 2009
Sensitivity analysis in HMMs with application to likelihood maximization
NIPS 2009
Particle-based Variational Inference for Continuous Systems
NIPS 2009
The Wisdom of Crowds in the Recollection of Order Information
NIPS 2009
Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process
NIPS 2009
From PAC-Bayes Bounds to KL Regularization
NIPS 2009
A Stochastic approximation method for inference in probabilistic graphical models
NIPS 2009
Gaussian process regression with Student-t likelihood
NIPS 2009
POMDPs for robotic tasks with mixed observability
RSS 2009
Model selection and velocity estimation using novel priors for motion patterns
NIPS 2008
MAS: a multiplicative approximation scheme for probabilistic inference
NIPS 2008
Fast Computation of Posterior Mode in Multi-Level Hierarchical Models
NIPS 2008
Stochastic Relational Models for Large-scale Dyadic Data using MCMC
NIPS 2008
Estimating the Location and Orientation of Complex, Correlated Neural Activity using MEG
NIPS 2008
Efficient Inference in Phylogenetic InDel Trees
NIPS 2008
Adaptive Body Scheme Models for Robust Robotic Manipulation
RSS 2008
Modeling the effects of memory on human online sentence processing with particle filters
NIPS 2008
Improving on Expectation Propagation
NIPS 2008
Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes
NIPS 2008
Evaluating probabilities under high-dimensional latent variable models
NIPS 2008
Counting Solution Clusters in Graph Coloring Problems Using Belief Propagation
NIPS 2008
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