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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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Papers (including subtopics)

Computing Nash Equilibria in Generalized Interdependent Security Games NIPS 2014
Randomized Experimental Design for Causal Graph Discovery NIPS 2014
Extended and Unscented Gaussian Processes NIPS 2014
Optimal Neural Codes for Control and Estimation NIPS 2014
Submodular meets Structured: Finding Diverse Subsets in Exponentially-Large Structured Item Sets NIPS 2014
Distributed Bayesian Posterior Sampling via Moment Sharing NIPS 2014
Optimal decision-making with time-varying evidence reliability NIPS 2014
Incremental Local Gaussian Regression NIPS 2014
Bayesian Nonlinear Support Vector Machines and Discriminative Factor Modeling NIPS 2014
Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature NIPS 2014
Inferring synaptic conductances from spike trains with a biophysically inspired point process model NIPS 2014
Mind the Nuisance: Gaussian Process Classification using Privileged Noise NIPS 2014
Global Belief Recursive Neural Networks NIPS 2014
Nonparametric Bayesian inference on multivariate exponential families NIPS 2014
Advances in Learning Bayesian Networks of Bounded Treewidth NIPS 2014
Convolutional Neural Network Architectures for Matching Natural Language Sentences NIPS 2014
Fast Training of Pose Detectors in the Fourier Domain NIPS 2014
Modeling Deep Temporal Dependencies with Recurrent Grammar Cells"" NIPS 2014
Iterative Neural Autoregressive Distribution Estimator NADE-k NIPS 2014
Model-based Reinforcement Learning and the Eluder Dimension NIPS 2014
Probabilistic Differential Dynamic Programming NIPS 2014
Conditional Random Field Autoencoders for Unsupervised Structured Prediction NIPS 2014
Bayesian Sampling Using Stochastic Gradient Thermostats NIPS 2014
Robust Bayesian Max-Margin Clustering NIPS 2014
Scalable Inference for Neuronal Connectivity from Calcium Imaging NIPS 2014