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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)

Factorial HMMs with Collapsed Gibbs Sampling for Optimizing Long-term HIV Therapy AISTATS 2018
Topic Compositional Neural Language Model AISTATS 2018
Gaussian Process Subset Scanning for Anomalous Pattern Detection in Non-iid Data AISTATS 2018
Personalized and Private Peer-to-Peer Machine Learning AISTATS 2018
Group Invariance Principles for Causal Generative Models AISTATS 2018
A Provable Algorithm for Learning Interpretable Scoring Systems AISTATS 2018
Scaling up the Automatic Statistician: Scalable Structure Discovery using Gaussian Processes AISTATS 2018
Transfer Learning on fMRI Datasets AISTATS 2018
Few-shot Generative Modelling with Generative Matching Networks AISTATS 2018
Variational inference for the multi-armed contextual bandit AISTATS 2018
Best arm identification in multi-armed bandits with delayed feedback AISTATS 2018
Human Interaction with Recommendation Systems AISTATS 2018
Cause-Effect Inference by Comparing Regression Errors AISTATS 2018
Actor-Critic Fictitious Play in Simultaneous Move Multistage Games AISTATS 2018
Conditional independence testing based on a nearest-neighbor estimator of conditional mutual information AISTATS 2018
Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures AISTATS 2018
Delayed Sampling and Automatic Rao-Blackwellization of Probabilistic Programs AISTATS 2018
Semi-Supervised Prediction-Constrained Topic Models AISTATS 2018
A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed Loop AISTATS 2018
Bayesian Nonparametric Poisson-Process Allocation for Time-Sequence Modeling AISTATS 2018
Learning Structural Weight Uncertainty for Sequential Decision-Making AISTATS 2018
Optimality of Approximate Inference Algorithms on Stable Instances AISTATS 2018
Differentially Private Regression with Gaussian Processes AISTATS 2018
Structured Factored Inference for Probabilistic Programming AISTATS 2018
Multiphase MCMC Sampling for Parameter Inference in Nonlinear Ordinary Differential Equations AISTATS 2018