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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)

The Sensitivity of Counterfactual Fairness to Unmeasured Confounding UAI 2019
Finding Minimal d-separators in Linear Time and Applications UAI 2019
A Bayesian Approach to Robust Reinforcement Learning UAI 2019
Evacuate or Not? A POMDP Model of the Decision Making of Individuals in Hurricane Evacuation Zones UAI 2019
How to Exploit Structure while Solving Weighted Model Integration Problems UAI 2019
A Flexible Framework for Multi-Objective Bayesian Optimization using Random Scalarizations UAI 2019
Practical Multi-fidelity Bayesian Optimization for Hyperparameter Tuning UAI 2019
Sampling-free Uncertainty Estimation in Gated Recurrent Units with Applications to Normative Modeling in Neuroimaging UAI 2019
Wasserstein Fair Classification UAI 2019
Noise Contrastive Priors for Functional Uncertainty UAI 2019
Fake It Till You Make It: Learning-Compatible Performance Support UAI 2019
Literal or Pedagogic Human? Analyzing Human Model Misspecification in Objective Learning UAI 2019
Convergence Analysis of Gradient-Based Learning in Continuous Games UAI 2019
Intervening on Network Ties UAI 2019
Social Reinforcement Learning to Combat Fake News Spread UAI 2019
Causal Inference Under Interference And Network Uncertainty UAI 2019
Learning Belief Representations for Imitation Learning in POMDPs UAI 2019
Object Conditioning for Causal Inference UAI 2019
Empirical Mechanism Design: Designing Mechanisms from Data UAI 2019
On the Relationship Between Satisfiability and Markov Decision Processes UAI 2019
Interpretable Almost Matching Exactly With Instrumental Variables UAI 2019
Identification In Missing Data Models Represented By Directed Acyclic Graphs UAI 2019
A Weighted Mini-Bucket Bound for Solving Influence Diagram UAI 2019
Co-training for Policy Learning UAI 2019
Probability Distillation: A Caveat and Alternatives UAI 2019