| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Steven Holtzen, Todd D. Millstein, Guy Van den Broeck |
Generating and Sampling Orbits for Lifted Probabilistic Inference. (PDF / PS)  |
UAI  |
2019 |
DBLP BibTeX RDF |
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| 1 | Liam Li, Ameet Talwalkar |
Random Search and Reproducibility for Neural Architecture Search. (PDF / PS) |
UAI |
2019 |
DBLP BibTeX RDF |
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| 1 | Geng Ji 0001, Dehua Cheng, Huazhong Ning, Changhe Yuan, Hanning Zhou, Liang Xiong, Erik B. Sudderth |
Variational Training for Large-Scale Noisy-OR Bayesian Networks. (PDF / PS) |
UAI |
2019 |
DBLP BibTeX RDF |
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| 1 | Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser, James M. Robins |
Identification In Missing Data Models Represented By Directed Acyclic Graphs. (PDF / PS) |
UAI |
2019 |
DBLP BibTeX RDF |
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| 1 | Stefano Tracà, Weiyu Yan, Cynthia Rudin |
Reducing Exploration of Dying Arms in Mortal Bandits. (PDF / PS) |
UAI |
2019 |
DBLP BibTeX RDF |
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| 1 | Aadirupa Saha, Shreyas Sheshadri, Chiranjib Bhattacharyya |
Be Greedy: How Chromatic Number meets Regret Minimization in Graph Bandits. (PDF / PS) |
UAI |
2019 |
DBLP BibTeX RDF |
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| 1 | Nicola De Cao, Wilker Aziz, Ivan Titov |
Block Neural Autoregressive Flow. (PDF / PS) |
UAI |
2019 |
DBLP BibTeX RDF |
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| 1 | Chuan Guo, Jared S. Frank, Kilian Q. Weinberger |
Low Frequency Adversarial Perturbation. (PDF / PS) |
UAI |
2019 |
DBLP BibTeX RDF |
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| 1 | Zhe Wang 0021, Yi Zhou 0017, Yingbin Liang, Guanghui Lan |
Cubic Regularization with Momentum for Nonconvex Optimization. (PDF / PS) |
UAI |
2019 |
DBLP BibTeX RDF |
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| 1 | Hao Xiong, Yuanzhen Guo, Yibo Yang, Nicholas Ruozzi |
One-Shot Inference in Markov Random Fields. (PDF / PS) |
UAI |
2019 |
DBLP BibTeX RDF |
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| 1 | Branislav Kveton, Csaba Szepesvári, Mohammad Ghavamzadeh, Craig Boutilier |
Perturbed-History Exploration in Stochastic Linear Bandits. (PDF / PS) |
UAI |
2019 |
DBLP BibTeX RDF |
|
| 1 | Lin F. Yang, Zheng Yu, Vladimir Braverman, Tuo Zhao, Mengdi Wang |
Online Factorization and Partition of Complex Networks by Random Walk. (PDF / PS) |
UAI |
2019 |
DBLP BibTeX RDF |
|
| 1 | Alireza Heidari, Ihab F. Ilyas, Theodoros Rekatsinas |
Approximate Inference in Structured Instances with Noisy Categorical Observations. (PDF / PS) |
UAI |
2019 |
DBLP BibTeX RDF |
|
| 1 | Xin Wang 0066, Fisher Yu 0001, Lisa Dunlap, Yi-An Ma, Ruth Wang, Azalia Mirhoseini, Trevor Darrell, Joseph E. Gonzalez |
Deep Mixture of Experts via Shallow Embedding. (PDF / PS) |
UAI |
2019 |
DBLP BibTeX RDF |
|
| 1 | Olivier Gouvert, Thomas Oberlin, Cédric Févotte |
Recommendation from Raw Data with Adaptive Compound Poisson Factorization. (PDF / PS) |
UAI |
2019 |
DBLP BibTeX RDF |
|
| 1 | Sinead A. Williamson, Mauricio Tec |
Random Clique Covers for Graphs with Local Density and Global Sparsity. (PDF / PS) |
UAI |
2019 |
DBLP BibTeX RDF |
|
| 1 | Duligur Ibeling, Thomas Icard |
On Open-Universe Causal Reasoning. (PDF / PS) |
UAI |
2019 |
DBLP BibTeX RDF |
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| 1 | Francesco Tonolini, Bjørn Sand Jensen, Roderick Murray-Smith |
Variational Sparse Coding. (PDF / PS) |
UAI |
2019 |
DBLP BibTeX RDF |
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| 1 | Shoubo Hu, Kun Zhang 0001, Zhitang Chen, Laiwan Chan |
Domain Generalization via Multidomain Discriminant Analysis. (PDF / PS) |
UAI |
2019 |
DBLP BibTeX RDF |
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| 1 | Gregory W. Gundersen, Bianca Dumitrascu, Jordan T. Ash, Barbara E. Engelhardt |
End-to-end Training of Deep Probabilistic CCA on Paired Biomedical Observations. (PDF / PS) |
UAI |
2019 |
DBLP BibTeX RDF |
|
| 1 | Tim Pearce, Russell Tsuchida, Mohamed Zaki, Alexandra Brintrup, Andy Neely |
Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions. (PDF / PS) |
UAI |
2019 |
DBLP BibTeX RDF |
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| 1 | Jonathan Kuck, Tri Dao, Shenjia Zhao, Burak Bartan, Ashish Sabharwal, Stefano Ermon |
Adaptive Hashing for Model Counting. (PDF / PS) |
UAI |
2019 |
DBLP BibTeX RDF |
|
| 1 | Anthony Tompkins, Fabio Ramos 0001 |
Periodic Kernel Approximation by Index Set Fourier Series Features. (PDF / PS) |
UAI |
2019 |
DBLP BibTeX RDF |
|
| 1 | Jian Wu, Saul Toscano-Palmerin, Peter I. Frazier, Andrew Gordon Wilson |
Practical Multi-fidelity Bayesian Optimization for Hyperparameter Tuning. (PDF / PS) |
UAI |
2019 |
DBLP BibTeX RDF |
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| 1 | Michael Gimelfarb, Scott Sanner, Chi-Guhn Lee |
Epsilon-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning. (PDF / PS) |
UAI |
2019 |
DBLP BibTeX RDF |
|
| 1 | Eli Sherman, Ilya Shpitser |
Intervening on Network Ties. (PDF / PS) |
UAI |
2019 |
DBLP BibTeX RDF |
|
| 1 | Sander Beckers, Frederick Eberhardt, Joseph Y. Halpern |
Approximate Causal Abstractions. (PDF / PS) |
UAI |
2019 |
DBLP BibTeX RDF |
|
| 1 | Sanghack Lee, Vasant G. Honavar |
Towards Robust Relational Causal Discovery. (PDF / PS) |
UAI |
2019 |
DBLP BibTeX RDF |
|
| 1 | Pavel Izmailov, Wesley J. Maddox, Polina Kirichenko, Timur Garipov, Dmitry P. Vetrov, Andrew Gordon Wilson |
Subspace Inference for Bayesian Deep Learning. (PDF / PS) |
UAI |
2019 |
DBLP BibTeX RDF |
|
| 1 | Yehong Zhang, Zhongxiang Dai, Bryan Kian Hsiang Low |
Bayesian Optimization with Binary Auxiliary Information. (PDF / PS) |
UAI |
2019 |
DBLP BibTeX RDF |
|
| 1 | Craig Innes, Alex Lascarides |
Learning Factored Markov Decision Processes with Unawareness. (PDF / PS) |
UAI |
2019 |
DBLP BibTeX RDF |
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| 1 | Krishnamurthy (Dj) Dvijotham, Robert Stanforth, Sven Gowal, Chongli Qin, Soham De, Pushmeet Kohli |
Efficient Neural Network Verification with Exactness Characterization. (PDF / PS) |
UAI |
2019 |
DBLP BibTeX RDF |
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| 1 | Karen Ullrich, Rianne van den Berg, Marcus A. Brubaker, David J. Fleet, Max Welling |
Differentiable Probabilistic Models of Scientific Imaging with the Fourier Slice Theorem. (PDF / PS) |
UAI |
2019 |
DBLP BibTeX RDF |
|
| 1 | Smitha Milli, Anca D. Dragan |
Literal or Pedagogic Human? Analyzing Human Model Misspecification in Objective Learning. (PDF / PS) |
UAI |
2019 |
DBLP BibTeX RDF |
|
| 1 | Manuel Haußmann, Fred A. Hamprecht, Melih Kandemir |
Sampling-Free Variational Inference of Bayesian Neural Networks by Variance Backpropagation. (PDF / PS) |
UAI |
2019 |
DBLP BibTeX RDF |
|
| 1 | Yuhui Wang, Hao He, Xiaoyang Tan |
Truly Proximal Policy Optimization. (PDF / PS) |
UAI |
2019 |
DBLP BibTeX RDF |
|
| 1 | Robert Peharz, Antonio Vergari, Karl Stelzner, Alejandro Molina 0001, Martin Trapp 0001, Xiaoting Shao, Kristian Kersting, Zoubin Ghahramani |
Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning. (PDF / PS) |
UAI |
2019 |
DBLP BibTeX RDF |
|
| 1 | Jonathan Bragg, Emma Brunskill |
Fake It Till You Make It: Learning-Compatible Performance Support. (PDF / PS) |
UAI |
2019 |
DBLP BibTeX RDF |
|
| 1 | Tineke Blom, Stephan Bongers, Joris M. Mooij |
Beyond Structural Causal Models: Causal Constraints Models. (PDF / PS) |
UAI |
2019 |
DBLP BibTeX RDF |
|
| 1 | Sami Abu-El-Haija, Amol Kapoor, Bryan Perozzi, Joonseok Lee |
N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification. (PDF / PS) |
UAI |
2019 |
DBLP BibTeX RDF |
|
| 1 | Christopher Aicher, Nicholas J. Foti, Emily B. Fox |
Adaptively Truncating Backpropagation Through Time to Control Gradient Bias. (PDF / PS) |
UAI |
2019 |
DBLP BibTeX RDF |
|
| 1 | Enrique Areyan Viqueira, Cyrus Cousins, Yasser Mohammad, Amy Greenwald |
Empirical Mechanism Design: Designing Mechanisms from Data. (PDF / PS) |
UAI |
2019 |
DBLP BibTeX RDF |
|
| 1 | Hongyi Ding, Young Lee, Issei Sato, Masashi Sugiyama |
Variational Inference for Gaussian Processes with Panel Count Data. |
UAI |
2018 |
DBLP BibTeX RDF |
|
| 1 | Reid Bixler, Bert Huang |
Sparse-Matrix Belief Propagation. |
UAI |
2018 |
DBLP BibTeX RDF |
|
| 1 | Ze Jin, Xiaohan Yan, David S. Matteson |
Testing for Conditional Mean Independence with Covariates through Martingale Difference Divergence. |
UAI |
2018 |
DBLP BibTeX RDF |
|
| 1 | Esther Derman, Daniel J. Mankowitz, Timothy A. Mann, Shie Mannor |
Soft-Robust Actor-Critic Policy-Gradient. |
UAI |
2018 |
DBLP BibTeX RDF |
|
| 1 | Neal Lawton, Greg Ver Steeg, Aram Galstyan |
A Forest Mixture Bound for Block-Free Parallel Inference. |
UAI |
2018 |
DBLP BibTeX RDF |
|
| 1 | Sinong Geng, Zhaobin Kuang, Jie Liu 0006, Stephen J. Wright 0001, David Page |
Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error. |
UAI |
2018 |
DBLP BibTeX RDF |
|
| 1 | Jose M. Peña 0001 |
Identification of Strong Edges in AMP Chain Graphs. |
UAI |
2018 |
DBLP BibTeX RDF |
|
| 1 | Vinod Nair, Dj Dvijotham, Iain Dunning, Oriol Vinyals |
Learning Fast Optimizers for Contextual Stochastic Integer Programs. |
UAI |
2018 |
DBLP BibTeX RDF |
|
| 1 | Somak Aditya, Yezhou Yang, Chitta Baral, Yiannis Aloimonos |
Combining Knowledge and Reasoning through Probabilistic Soft Logic for Image Puzzle Solving. |
UAI |
2018 |
DBLP BibTeX RDF |
|
| 1 | Alkis Gotovos, S. Hamed Hassani, Andreas Krause 0001, Stefanie Jegelka |
Discrete Sampling using Semigradient-based Product Mixtures. |
UAI |
2018 |
DBLP BibTeX RDF |
|
| 1 | Yunpu Ma, Marcel Hildebrandt, Volker Tresp, Stephan Baier |
Holistic Representations for Memorization and Inference. |
UAI |
2018 |
DBLP BibTeX RDF |
|
| 1 | Aaron Palmer, Dipak K. Dey, Jinbo Bi |
Reforming Generative Autoencoders via Goodness-of-Fit Hypothesis Testing. |
UAI |
2018 |
DBLP BibTeX RDF |
|
| 1 | Kristopher De Asis, Richard S. Sutton |
Per-decision Multi-step Temporal Difference Learning with Control Variates. |
UAI |
2018 |
DBLP BibTeX RDF |
|
| 1 | Pritee Agrawal, Pradeep Varakantham, William Yeoh 0001 |
Decentralized Planning for Non-dedicated Agent Teams with Submodular Rewards in Uncertain Environments. |
UAI |
2018 |
DBLP BibTeX RDF |
|
| 1 | Rémi Le Priol, Alexandre Piché, Simon Lacoste-Julien |
Adaptive Stochastic Dual Coordinate Ascent for Conditional Random Fields. |
UAI |
2018 |
DBLP BibTeX RDF |
|
| 1 | Razieh Nabi, Phyllis Kanki, Ilya Shpitser |
Estimation of Personalized Effects Associated With Causal Pathways. |
UAI |
2018 |
DBLP BibTeX RDF |
|
| 1 | Beidi Chen, Anshumali Shrivastava |
Densified Winner Take All (WTA) Hashing for Sparse Datasets. |
UAI |
2018 |
DBLP BibTeX RDF |
|
| 1 | Ricardo Pio Monti, Aapo Hyvärinen |
A unified probabilistic model for learning latent factors and their connectivities from high-dimensional data . |
UAI |
2018 |
DBLP BibTeX RDF |
|
| 1 | Griffin Lacey, Graham W. Taylor, Shawki Areibi |
Stochastic Layer-Wise Precision in Deep Neural Networks. |
UAI |
2018 |
DBLP BibTeX RDF |
|
| 1 | Yizhi Zhu, Oluwasanmi Koyejo |
Clustered Fused Graphical Lasso. |
UAI |
2018 |
DBLP BibTeX RDF |
|
| 1 | Qi Lou, Rina Dechter, Alexander Ihler |
Finite-sample Bounds for Marginal MAP. |
UAI |
2018 |
DBLP BibTeX RDF |
|
| 1 | Shuran Zheng, Bo Waggoner, Yang Liu 0018, Yiling Chen 0001 |
Active Information Acquisition for Linear Optimization. |
UAI |
2018 |
DBLP BibTeX RDF |
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| 1 | Li Chou, Wolfgang Gatterbauer, Vibhav Gogate |
Dissociation-Based Oblivious Bounds for Weighted Model Counting. |
UAI |
2018 |
DBLP BibTeX RDF |
|
| 1 | Junzhe Zhang, Elias Bareinboim |
Non-Parametric Path Analysis in Structural Causal Models. |
UAI |
2018 |
DBLP BibTeX RDF |
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| 1 | Jiani Zhang 0001, Xingjian Shi, Junyuan Xie, Hao Ma 0001, Irwin King, Dit-Yan Yeung |
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs. |
UAI |
2018 |
DBLP BibTeX RDF |
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| 1 | Craig Sherstan, Dylan R. Ashley, Brendan Bennett, Kenny Young, Adam White 0001, Martha White, Richard S. Sutton |
Comparing Direct and Indirect Temporal-Difference Methods for Estimating the Variance of the Return. |
UAI |
2018 |
DBLP BibTeX RDF |
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| 1 | Touqir Sajed, Wesley Chung, Martha White |
High-confidence error estimates for learned value functions. |
UAI |
2018 |
DBLP BibTeX RDF |
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| 1 | Subhadeep Karan, Matthew Eichhorn, Blake Hurlburt, Grant Iraci, Jaroslaw Zola |
Fast Counting in Machine Learning Applications. |
UAI |
2018 |
DBLP BibTeX RDF |
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| 1 | Ryan Turner, Brady Neal |
How well does your sampler really work? |
UAI |
2018 |
DBLP BibTeX RDF |
|
| 1 | Tom Rainforth |
Nesting Probabilistic Programs. |
UAI |
2018 |
DBLP BibTeX RDF |
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| 1 | Rafael Pinot, Anne Morvan, Florian Yger, Cédric Gouy-Pailler, Jamal Atif |
Graph-based Clustering under Differential Privacy. |
UAI |
2018 |
DBLP BibTeX RDF |
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| 1 | Ilya Shpitser, Robin J. Evans 0002, Thomas S. Richardson 0001 |
Acyclic Linear SEMs Obey the Nested Markov Property. |
UAI |
2018 |
DBLP BibTeX RDF |
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| 1 | Ashish Sabharwal, Yexiang Xue |
Adaptive Stratified Sampling for Precision-Recall Estimation. |
UAI |
2018 |
DBLP BibTeX RDF |
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| 1 | Travis Moore, Weng-Keen Wong |
An Efficient Quantile Spatial Scan Statistic for Finding Unusual Regions in Continuous Spatial Data with Covariates. |
UAI |
2018 |
DBLP BibTeX RDF |
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| 1 | Minyoung Kim, Vladimir Pavlovic 0001 |
Variational Inference for Gaussian Process Models for Survival Analysis. |
UAI |
2018 |
DBLP BibTeX RDF |
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| 1 | Shengjia Zhao, Jiaming Song, Stefano Ermon |
A Lagrangian Perspective on Latent Variable Generative Models. |
UAI |
2018 |
DBLP BibTeX RDF |
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| 1 | Junkyu Lee 0001, Alexander Ihler, Rina Dechter |
Join Graph Decomposition Bounds for Influence Diagrams. |
UAI |
2018 |
DBLP BibTeX RDF |
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| 1 | Kun Zhang 0001, Mingming Gong, Joseph D. Ramsey, Kayhan Batmanghelich, Peter Spirtes, Clark Glymour |
Causal Discovery with Linear Non-Gaussian Models under Measurement Error: Structural Identifiability Results. |
UAI |
2018 |
DBLP BibTeX RDF |
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| 1 | Alistair Shilton, Santu Rana, Sunil Gupta 0001, Svetha Venkatesh |
Multi-Target Optimisation via Bayesian Optimisation and Linear Programming. |
UAI |
2018 |
DBLP BibTeX RDF |
|
| 1 | Han Zhao 0002, Geoffrey J. Gordon |
Frank-Wolfe Optimization for Symmetric-NMF under Simplicial Constraint. |
UAI |
2018 |
DBLP BibTeX RDF |
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| 1 | Giulia Denevi, Carlo Ciliberto, Dimitris Stamos, Massimiliano Pontil |
Incremental Learning-to-Learn with Statistical Guarantees. |
UAI |
2018 |
DBLP BibTeX RDF |
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| 1 | Xin Wang 0066, Yujia Luo, Daniel Crankshaw, Alexey Tumanov, Fisher Yu 0001, Joseph E. Gonzalez |
IDK Cascades: Fast Deep Learning by Learning not to Overthink. |
UAI |
2018 |
DBLP BibTeX RDF |
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| 1 | Xiaotian Yu, Han Shao, Michael R. Lyu, Irwin King |
Pure Exploration of Multi-Armed Bandits with Heavy-Tailed Payoffs. |
UAI |
2018 |
DBLP BibTeX RDF |
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| 1 | Benjamin Bloem-Reddy, Adam Foster 0001, Emile Mathieu, Yee Whye Teh |
Sampling and Inference for Beta Neutral-to-the-Left Models of Sparse Networks. |
UAI |
2018 |
DBLP BibTeX RDF |
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| 1 | Lewis Smith, Yarin Gal |
Understanding Measures of Uncertainty for Adversarial Example Detection. |
UAI |
2018 |
DBLP BibTeX RDF |
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| 1 | Arghya Roy Chaudhuri, Shivaram Kalyanakrishnan |
Quantile-Regret Minimisation in Infinitely Many-Armed Bandits. |
UAI |
2018 |
DBLP BibTeX RDF |
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| 1 | Alberto García-Durán, Mathias Niepert |
KBlrn: End-to-End Learning of Knowledge Base Representations with Latent, Relational, and Numerical Features. |
UAI |
2018 |
DBLP BibTeX RDF |
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| 1 | Aghiles Salah, Hady W. Lauw |
Probabilistic Collaborative Representation Learning for Personalized Item Recommendation. |
UAI |
2018 |
DBLP BibTeX RDF |
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| 1 | Adarsh Subbaswamy, Suchi Saria |
Counterfactual Normalization: Proactively Addressing Dataset Shift Using Causal Mechanisms. |
UAI |
2018 |
DBLP BibTeX RDF |
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| 1 | Tatiana Shpakova, Francis R. Bach, Anton Osokin |
Marginal Weighted Maximum Log-likelihood for Efficient Learning of Perturb-and-Map models. |
UAI |
2018 |
DBLP BibTeX RDF |
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| 1 | Rianne van den Berg, Leonard Hasenclever, Jakub M. Tomczak, Max Welling |
Sylvester Normalizing Flows for Variational Inference. |
UAI |
2018 |
DBLP BibTeX RDF |
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| 1 | Zhibing Zhao, Haoming Li 0002, Junming Wang, Jeffrey O. Kephart, Nicholas Mattei, Hui Su, Lirong Xia |
A Cost-Effective Framework for Preference Elicitation and Aggregation. |
UAI |
2018 |
DBLP BibTeX RDF |
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| 1 | Ruifei Cui, Perry Groot, Moritz Schauer, Tom Heskes |
Learning the Causal Structure of Copula Models with Latent Variables. |
UAI |
2018 |
DBLP BibTeX RDF |
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| 1 | Patrick Forré, Joris M. Mooij |
Constraint-based Causal Discovery for Non-Linear Structural Causal Models with Cycles and Latent Confounders. |
UAI |
2018 |
DBLP BibTeX RDF |
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| 1 | Sihyeon Seong, Yegang Lee, Youngwook Kee, Dongyoon Han, Junmo Kim 0002 |
Towards Flatter Loss Surface via Nonmonotonic Learning Rate Scheduling. |
UAI |
2018 |
DBLP BibTeX RDF |
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| 1 | Gagan Madan, Ankit Anand, Mausam, Parag Singla |
Block-Value Symmetries in Probabilistic Graphical Models. |
UAI |
2018 |
DBLP BibTeX RDF |
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| 1 | Rémy Degenne, Evrard Garcelon, Vianney Perchet |
Bandits with Side Observations: Bounded vs. Logarithmic Regret. |
UAI |
2018 |
DBLP BibTeX RDF |
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| 1 | Difan Zou, Pan Xu 0002, Quanquan Gu |
Subsampled Stochastic Variance-Reduced Gradient Langevin Dynamics. |
UAI |
2018 |
DBLP BibTeX RDF |
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