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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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14833
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Papers (including subtopics)

Complementary Sum Sampling for Likelihood Approximation in Large Scale Classification AISTATS 2017
Learning Optimal Interventions AISTATS 2017
A Lower Bound on the Partition Function of Attractive Graphical Models in the Continuous Case AISTATS 2017
Sequential Graph Matching with Sequential Monte Carlo AISTATS 2017
Optimistic Planning for the Stochastic Knapsack Problem AISTATS 2017
A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models AISTATS 2017
Thompson Sampling for Linear-Quadratic Control Problems AISTATS 2017
Prediction Performance After Learning in Gaussian Process Regression AISTATS 2017
Learning Structured Weight Uncertainty in Bayesian Neural Networks AISTATS 2017
Discovering and Exploiting Additive Structure for Bayesian Optimization AISTATS 2017
Inference Compilation and Universal Probabilistic Programming AISTATS 2017
Information Projection and Approximate Inference for Structured Sparse Variables AISTATS 2017
Distribution of Gaussian Process Arc Lengths AISTATS 2017
Robust Causal Estimation in the Large-Sample Limit without Strict Faithfulness AISTATS 2017
Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models AISTATS 2017
Greedy Direction Method of Multiplier for MAP Inference of Large Output Domain AISTATS 2017
Minimax rates for cost-sensitive learning on manifolds with approximate nearest neighbours ALT 2017
Erasing Pattern Languages Distinguishable by a Finite Number of Strings ALT 2017
Parameter identification in Markov chain choice models ALT 2017
Soft-Bayes: Prod for Mixtures of Experts with Log-Loss ALT 2017
Adaptive Submodularity with Varying Query Sets: An Application to Active Multi-label Learning ALT 2017
Structured Best Arm Identification with Fixed Confidence ALT 2017
Thompson Sampling for the MNL-Bandit COLT 2017
Testing Bayesian Networks COLT 2017
Algorithmic Chaining and the Role of Partial Feedback in Online Nonparametric Learning COLT 2017