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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)

Spectral Learning of Mixture of Hidden Markov Models NIPS 2014
Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation NIPS 2014
A Probabilistic Framework for Multimodal Retrieval using Integrative Indian Buffet Process NIPS 2014
Positive Curvature and Hamiltonian Monte Carlo NIPS 2014
Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights NIPS 2014
Learning Neural Network Policies with Guided Policy Search under Unknown Dynamics NIPS 2014
Recursive Inversion Models for Permutations NIPS 2014
Combinatorial Pure Exploration of Multi-Armed Bandits NIPS 2014
Learning Optimal Commitment to Overcome Insecurity NIPS 2014
Learning Time-Varying Coverage Functions NIPS 2014
General Table Completion using a Bayesian Nonparametric Model NIPS 2014
Diverse Randomized Agents Vote to Win NIPS 2014
Learning Mixtures of Ranking Models NIPS 2014
Zero-shot recognition with unreliable attributes NIPS 2014
Active Learning and Best-Response Dynamics NIPS 2014
Distributed Parameter Estimation in Probabilistic Graphical Models NIPS 2014
From MAP to Marginals: Variational Inference in Bayesian Submodular Models NIPS 2014
Global Sensitivity Analysis for MAP Inference in Graphical Models NIPS 2014
Message Passing Inference for Large Scale Graphical Models with High Order Potentials NIPS 2014
Deep Fragment Embeddings for Bidirectional Image Sentence Mapping NIPS 2014
Sparse binary zero-sum games ACML 2014
Variational Gaussian Inference for Bilinear Models of Count Data ACML 2014
Hybrid Discriminative-Generative Approach with Gaussian Processes AISTATS 2014
Learning Optimal Bounded Treewidth Bayesian Networks via Maximum Satisfiability AISTATS 2014
PAC-Bayesian Theory for Transductive Learning AISTATS 2014