UAI
Member since:
2020-12-29
Last seen:
2020-12-29
User details
Name:
Conference on Uncertainty in Artificial Intelligence
Affiliation:
The Association for Uncertainty in Artificial Intelligence
Website:
http://www.auai.org/
About me:
The Conference on Uncertainty in Artificial Intelligence (UAI) is one of the premier international conferences on research related to knowledge representation, learning, and reasoning in the presence of uncertainty. UAI is supported by the Association for Uncertainty in Artificial Intelligence (AUAI).
Papertalks of UAI
03/08/2020
PAC-Bayesian Contrastive Unsupervised Representation Learning
Kento Nozawa, Pascal Germain, Benjamin Guedj
Keywords Paper
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0
0
0
7:59
03/08/2020
Static and Dynamic Values of Computation in MCTS
Eren Sezener, Peter Dayan
Keywords Paper
0
0
0
0
8:20
03/08/2020
Kernel Conditional Moment Test via Maximum Moment Restriction
Krikamol Muandet, Wittawat Jitkrittum, Jonas Kübler
Keywords Paper
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0
0
0
6:26
03/08/2020
Amortized variance reduction for doubly stochastic objective
Ayman Boustati, Sattar Vakili, James Hensman, ST John
Keywords Paper
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0
0
0
5:02
03/08/2020
Randomized Exploration for Non-Stationary Stochastic Linear Bandits
Baekjin Kim, Ambuj Tewari
Keywords Paper
0
0
0
0
7:55
03/08/2020
Iterative Channel Estimation for Discrete Denoising under Channel Uncertainty
Hongjoon Ahn, Taesup Moon
Keywords Paper
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0
0
0
8:00
03/08/2020
Learning Behaviors with Uncertain Human Feedback
Xu He, Haipeng Chen, Bo An
Keywords Paper
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0
0
0
7:42
03/08/2020
Regret Analysis of Bandit Problems with Causal Background Knowledge
Yangyi Lu, Amirhossein Meisami, Ambuj Tewari, William Yan
Keywords Paper
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0
0
0
7:32
03/08/2020
Kidney Exchange with Inhomogeneous Edge Existence Uncertainty
hoda bidkhori, John Dickerson, Duncan McElfresh, Ke Ren
Keywords Paper
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0
0
0
9:37
03/08/2020
On the design of consequential ranking algorithms
Behzad Tabibian, Vicenç Gómez, Abir De and
Keywords Paper
0
0
0
0
9:21
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0
0
0
8:06
03/08/2020
Robust Collective Classification against Structural Attacks
Kai Zhou, Yevgeniy Vorobeychik
Keywords Paper
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0
0
0
8:42
03/08/2020
Efficient Rollout Strategies for Bayesian Optimization
Eric Lee, David Eriksson, David Bindel and
Keywords Paper
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0
0
0
8:26
03/08/2020
Complete Dictionary Learning via $\ell_p$-norm Maximization
Yifei Shen, Ye Xue, Jun Zhang and
Keywords Paper
0
0
0
0
8:14
03/08/2020
Walking on Two Legs: Learning Image Segmentation with Noisy Labels
Guohua Cheng, Hongli Ji, Yan Tian
Keywords Paper
0
0
0
0
10:02
03/08/2020
Election Control by Manipulating Issue Significance
Andrew Estornell, Sanmay Das, Edith Elkind, Yevgeniy Vorobeychik
Keywords Paper
0
0
0
0
8:42
03/08/2020
A Simple Online Algorithm for Competing with Dynamic Comparators
Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou
Keywords Paper
0
0
0
0
7:44
03/08/2020
Skewness Ranking Optimization for Personalized Recommendation
Chuan-Ju Wang, Yu-Neng Chuang, Chih-Ming Chen, Ming-Feng Tsai
Keywords Paper
0
0
0
0
8:34
03/08/2020
High Dimensional Discrete Integration over the Hypergrid
Raj Kumar Maity, Arya Mazumdar, Soumyabrata Pal
Keywords Paper
0
0
0
0
8:46
03/08/2020
Neural Likelihoods via Cumulative Distribution Functions
Pawel Chilinski, Ricardo Silva
Keywords Paper
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0
0
0
8:07
03/08/2020
Unknown mixing times in apprenticeship and reinforcement learning
Tom Zahavy, Alon Cohen, Haim Kaplan, Yishay Mansour
Keywords Paper
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0
0
0
8:17
03/08/2020
The Hawkes Edge Partition Model for Continuous-time Event-based Temporal Networks
Sikun Yang, Heinz Koeppl
Keywords Paper
0
0
0
0
8:01