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Conference in Uncertainty in Artificial Intelligence

UAI

A

CORE rank

CORE rank (raw)

A

Fields of research

Artificial Intelligence

Papers indexed

3,802

1985–2025

Papers per year

1985243 peak2025

UAI papers

3,802 records sourced from DBLP. Search titles, filter by year, sort by recency.

YearTitleAuthors
2016A Correlated Worker Model for Grouped, Imbalanced and Multitask Data.An T. Nguyen, Byron C. Wallace, Matthew Lease
2016A General Statistical Framework for Designing Strategy-proof Assignment Mechanisms.Harikrishna Narasimhan, David C. Parkes
2016Sparse Gaussian Processes for Bayesian Optimization.Mitchell McIntire, Daniel Ratner, Stefano Ermon
2016Separating Sparse Signals from Correlated Noise in Binary Classification.Stephan Mandt, Florian Wenzel, Shinichi Nakajima, Christoph Lippert, Marius Kloft
2016Large-scale Submodular Greedy Exemplar Selection with Structured Similarity Matrices.Dmitry Malioutov, Abhishek Kumar, Ian En-Hsu Yen
2016Dantzig Selector with an Approximately Optimal Denoising Matrix and its Application in Sparse Reinforcement Learning.Bo Liu, Luwan Zhang, Ji Liu
2016Importance Weighted Consensus Monte Carlo for Distributed Bayesian Inference.Qiang Liu
2016Correlated Tag Learning in Topic Model.Shuangyin Li, Rong Pan, Yu Zhang, Qiang Yang
2016Utilize Old Coordinates: Faster Doubly Stochastic Gradients for Kernel Methods.Chun-Liang Li, Barnabs Pczos
2016On Hyper-Parameter Estimation In Empirical Bayes: A Revisit of The MacKay Algorithm.Chune Li, Yongyi Mao, Richong Zhang, Jinpeng Huai
2016Political Dimensionality Estimation Using a Probabilistic Graphical Model.Yoad Lewenberg, Yoram Bachrach, Lucas Bordeaux, Pushmeet Kohli
2016Bayesian Hyperparameter Optimization for Ensemble Learning.Julien-Charles Levesque, Christian Gagn, Robert Sabourin
2016A Formal Solution to the Grain of Truth Problem.Jan Leike, Jessica Taylor, Benya Fallenstein
2016Thompson Sampling is Asymptotically Optimal in General Environments.Jan Leike, Tor Lattimore, Laurent Orseau, Marcus Hutter
2016Bounded Rational Decision-Making in Feedforward Neural Networks.Felix Leibfried, Daniel A. Braun
2016Improving Imprecise Compressive Sensing Models.Dongeun Lee, Rafael Lima, Jaesik Choi
2016A Characterization of Markov Equivalence Classes of Relational Causal Models under Path Semantics.Sanghack Lee, Vasant G. Honavar
2016Budgeted Semi-supervised Support Vector Machine .Trung Le, Phuong Duong, Mi Dinh, Tu Dinh Nguyen, Vu Nguyen, Dinh Q. Phung
2016Towards a Theoretical Understanding of Negative Transfer in Collective Matrix Factorization.Chao Lan, Jianxin Wang, Jun Huan
2016A Risk Calculator for the Pulmonary Arterial Hypertension Based on a Bayesian Network.Jidapa Kraisangka, Marek J. Druzdzel, Raymond L. Benza
2016Online Forest Density Estimation.Frdric Koriche
2016Conjugate Conformal Prediction for Online Binary Classification.Mustafa Anil Koak, Dennis E. Shasha, Elza Erkip
2016Online learning with Erdos-Renyi side-observation graphs.Toms Kock, Gergely Neu, Michal Valko
2016Probabilistic Size-constrained Microclustering.Arto Klami, Aditya Jitta
2016Faster Stochastic Variational Inference using Proximal-Gradient Methods with General Divergence Functions.Mohammad Emtiyaz Khan, Reza Babanezhad, Wu Lin, Mark Schmidt, Masashi Sugiyama
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