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Artificial Intelligence

72,274 papers (0 classified directly here)

Subtopics

Core AI (59,089) Learning Paradigms (14,108) Bayesian & Probabilistic (4,335)

Papers per year

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193
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14833
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Papers (including subtopics)

A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification AISTATS 2012
Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks AISTATS 2012
Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data AISTATS 2012
Fast Variational Bayesian Inference for Non-Conjugate Matrix Factorization Models AISTATS 2012
Flexible Martingale Priors for Deep Hierarchies AISTATS 2012
Bayesian Inference for Change Points in Dynamical Systems with Reusable States - a Chinese Restaurant Process Approach AISTATS 2012
Lifted Variable Elimination with Arbitrary Constraints AISTATS 2012
Randomized Optimum Models for Structured Prediction AISTATS 2012
A Bayesian Analysis of the Radioactive Releases of Fukushima AISTATS 2012
Causality with Gates AISTATS 2012
Active Learning from Multiple Knowledge Sources AISTATS 2012
A Composite Likelihood View for Multi-Label Classification AISTATS 2012
Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation AISTATS 2012
An Empirical Etudy of Non-Lexical Extensions to Delexicalized Transfer COLING 2012
(weak) Calibration is Computationally Hard COLT 2012
Learning Valuation Functions COLT 2012
The Optimality of Jeffreys Prior for Online Density Estimation and the Asymptotic Normality of Maximum Likelihood Estimators COLT 2012
Active Learning Using Smooth Relative Regret Approximations with Applications COLT 2012
A Characterization of Scoring Rules for Linear Properties COLT 2012
Autonomous Exploration For Navigating In MDPs COLT 2012
Open Problem: Learning Dynamic Network Models from a Static Snapshot COLT 2012
Optimal Distributed Online Prediction Using Mini-Batches JMLR 2012
Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics JMLR 2012
A Case Study on Meta-Generalising: A Gaussian Processes Approach JMLR 2012
GPLP: A Local and Parallel Computation Toolbox for Gaussian Process Regression JMLR 2012