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Publication search results
found 119 matches
- 2019
- Geng Ji, Dehua Cheng, Huazhong Ning, Changhe Yuan, Hanning Zhou, Liang Xiong, Erik B. Sudderth:
Variational Training for Large-Scale Noisy-OR Bayesian Networks. UAI 2019: 873-882 - Ke Sun, Piotr Koniusz, Zhen Wang:
Fisher-Bures Adversary Graph Convolutional Networks. UAI 2019: 465-475 - Han Zhao, Otilia Stretcu, Alexander J. Smola, Geoffrey J. Gordon:
Efficient Multitask Feature and Relationship Learning. UAI 2019: 777-787 - Chang Li, Branislav Kveton, Tor Lattimore, Ilya Markov, Maarten de Rijke, Csaba Szepesvári, Masrour Zoghi:
BubbleRank: Safe Online Learning to Re-Rank via Implicit Click Feedback. UAI 2019: 196-206 - Sami Abu-El-Haija, Amol Kapoor, Bryan Perozzi, Joonseok Lee:
N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification. UAI 2019: 841-851 - Christopher Aicher, Nicholas J. Foti, Emily B. Fox:
Adaptively Truncating Backpropagation Through Time to Control Gradient Bias. UAI 2019: 799-808 - Olov Andersson, Per Sidén, Johan Dahlin, Patrick Doherty, Mattias Villani:
Real-Time Robotic Search using Structural Spatial Point Processes. UAI 2019: 995-1005 - Anand Avati, Tony Duan, Sharon Zhou, Kenneth Jung, Nigam H. Shah, Andrew Y. Ng:
Countdown Regression: Sharp and Calibrated Survival Predictions. UAI 2019: 145-155 - M. Usaid Awan, Yameng Liu, Marco Morucci, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky:
Interpretable Almost Matching Exactly With Instrumental Variables. UAI 2019: 1116-1126 - Robert Bamler, Farnood Salehi, Stephan Mandt:
Augmenting and Tuning Knowledge Graph Embeddings. UAI 2019: 508-518 - Sander Beckers, Frederick Eberhardt, Joseph Y. Halpern:
Approximate Causal Abstractions. UAI 2019: 606-615 - Rohit Bhattacharya, Daniel Malinsky, Ilya Shpitser:
Causal Inference Under Interference And Network Uncertainty. UAI 2019: 1028-1038 - Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser, James M. Robins:
Identification In Missing Data Models Represented By Directed Acyclic Graphs. UAI 2019: 1149-1158 - Tineke Blom, Stephan Bongers, Joris M. Mooij:
Beyond Structural Causal Models: Causal Constraints Models. UAI 2019: 585-594 - Jonathan Bragg, Emma Brunskill:
Fake It Till You Make It: Learning-Compatible Performance Support. UAI 2019: 915-924 - Nicola De Cao, Wilker Aziz, Ivan Titov:
Block Neural Autoregressive Flow. UAI 2019: 1263-1273 - Benjamin Chasnov, Lillian J. Ratliff, Eric Mazumdar, Samuel Burden:
Convergence Analysis of Gradient-Based Learning in Continuous Games. UAI 2019: 935-944 - Agniva Chowdhury, Jiasen Yang, Petros Drineas:
Randomized Iterative Algorithms for Fisher Discriminant Analysis. UAI 2019: 239-249 - Esther Derman, Daniel J. Mankowitz, Timothy A. Mann, Shie Mannor:
A Bayesian Approach to Robust Reinforcement Learning. UAI 2019: 648-658 - Krishnamurthy (Dj) Dvijotham, Robert Stanforth, Sven Gowal, Chongli Qin, Soham De, Pushmeet Kohli:
Efficient Neural Network Verification with Exactness Characterization. UAI 2019: 497-507 - Rasool Fakoor, Pratik Chaudhari, Alexander J. Smola:
P3O: Policy-on Policy-off Policy Optimization. UAI 2019: 1017-1027 - Patrick Forré, Joris M. Mooij:
Causal Calculus in the Presence of Cycles, Latent Confounders and Selection Bias. UAI 2019: 71-80 - Théo Galy-Fajou, Florian Wenzel, Christian Donner, Manfred Opper:
Multi-Class Gaussian Process Classification Made Conjugate: Efficient Inference via Data Augmentation. UAI 2019: 755-765 - Tanmay Gangwani, Joel Lehman, Qiang Liu, Jian Peng:
Learning Belief Representations for Imitation Learning in POMDPs. UAI 2019: 1061-1071 - Philipp Geiger, Michel Besserve, Justus Winkelmann, Claudius Proissl, Bernhard Schölkopf:
Coordinating Users of Shared Facilities via Data-driven Predictive Assistants and Game Theory. UAI 2019: 207-216 - Sinong Geng, Mladen Kolar, Oluwasanmi Koyejo:
Joint Nonparametric Precision Matrix Estimation with Confounding. UAI 2019: 378-388 - Alexandra Gessner, Javier Gonzalez, Maren Mahsereci:
Active Multi-Information Source Bayesian Quadrature. UAI 2019: 712-721 - Michael Gimelfarb, Scott Sanner, Chi-Guhn Lee:
Epsilon-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning. UAI 2019: 476-485 - Naman Goel, Boi Faltings:
Personalized Peer Truth Serum for Eliciting Multi-Attribute Personal Data. UAI 2019: 18-27 - Mahak Goindani, Jennifer Neville:
Social Reinforcement Learning to Combat Fake News Spread. UAI 2019: 1006-1016
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