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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)

Dynamic Infinite Relational Model for Time-varying Relational Data Analysis NIPS 2010
Exact learning curves for Gaussian process regression on large random graphs NIPS 2010
Sparse Instrumental Variables (SPIV) for Genome-Wide Studies NIPS 2010
Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning NIPS 2010
Gaussian Process Preference Elicitation NIPS 2010
Slice sampling covariance hyperparameters of latent Gaussian models NIPS 2010
Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets NIPS 2010
Gated Softmax Classification NIPS 2010
PAC-Bayesian Model Selection for Reinforcement Learning NIPS 2010
A rational decision making framework for inhibitory control NIPS 2010
Learning concept graphs from text with stick-breaking priors NIPS 2010
Improvements to the Sequence Memoizer NIPS 2010
Implicit Differentiation by Perturbation NIPS 2010
The Maximal Causes of Natural Scenes are Edge Filters NIPS 2010
Movement extraction by detecting dynamics switches and repetitions NIPS 2010
Deterministic Single-Pass Algorithm for LDA NIPS 2010
A Bayesian Framework for Figure-Ground Interpretation NIPS 2010
Global Analytic Solution for Variational Bayesian Matrix Factorization NIPS 2010
Inter-time segment information sharing for non-homogeneous dynamic Bayesian networks NIPS 2010
Bayesian Action-Graph Games NIPS 2010
The Neural Costs of Optimal Control NIPS 2010
Heavy-Tailed Process Priors for Selective Shrinkage NIPS 2010
A New Probabilistic Model for Rank Aggregation NIPS 2010
A Bayesian Approach to Concept Drift NIPS 2010
Cross Species Expression Analysis using a Dirichlet Process Mixture Model with Latent Matchings NIPS 2010