Paper Title |
Author Names |
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Scoring anomalies: a M-estimation formulation |
Stéphan Clémençon, Telecom ParisTech; Jérémie Jakubowicz,
Telecom Sud Management |
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Evidence Estimation for Bayesian Partially Observed
MRFs |
Yutian Chen, UC Irvine; Max Welling, "University of
California, Irvine" |
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High-dimensional Inference via Lipschitz
Sparsity-Yielding Regularizers |
Zheng Pan, Tsinghua Univ.; Changshui Zhang, Tsinghua Univ. |
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Learning to Top-K Search using Pairwise Comparisons |
Brian Eriksson, Technicolor |
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Stochastic blockmodeling of relational event
dynamics |
Christopher DuBois, UC Irvine; Carter Butts, UC Irvine;
Padhraic Smyth, University of California Irvine |
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Unsupervised Link Selection in Networks |
Quanquan Gu, CS, UIUC; Charu Aggarwal, IBM Research; Jiawei
Han, UIUC |
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Beyond Sentiment: The Manifold of Human Emotions |
Seungyeon Kim, Georgia Institute of Technolog;
Fuxin Li, Georgia Institute of Technology; Guy Lebanon, Georgia Institute of
Technology; Irfan Essa, Georgia Institute of Technology |
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Greedy Bilateral Sketch, Completion \& Smoothing |
Tianyi Zhou, Universityof Technology Sydney; Dacheng Tao,
University of Technology, Sydney |
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Further Optimal Regret Bounds for Thompson Sampling |
Shipra Agrawal, MSR India; Navin Goyal, MSR India |
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Faster Training of Structural SVMs with Diverse
M-Best Cutting-Planes |
Abner Guzman-Rivera, University of Illinois;
Pushmeet Kohli, Microsoft Research Cambridge; Dhruv Batra, Virginia Tech |
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Structural Expectation Propagation (SEP): Bayesian
structure learning for networks with latent
variables |
Nevena Lazic, Microsoft Research; Christopher Bishop, ; John
Winn, |
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DYNA-CARE: Dynamic Cardiac Arrest Risk Estimation |
Joyce Ho, University of Texas at Austin; Yubin
Park, University of Texas at Austin; Carlos Carvalho, University of Texas at
Austin; Joydeep Ghosh, University of Texas at Austin |
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Competing with an Infinite Set of Models in
Reinforcement Learning |
Phuong Nguyen, Australian National University;
Odalric-Ambrym Maillard, Montanuniversität Leoben; Daniil Ryabko, INRIA,
Lille; Ronald Ortner, Montanuniversitaet Leoben |
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Central Limit Theorems for Conditional Markov Chains |
Mathieu Sinn, IBM Research; Bei Chen, IBM Research - Ireland |
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Efficient Variational Inference for Gaussian Process
Regression Networks |
Trung Nguyen, ANU and NICTA; Edwin Bonilla, NICTA and ANU |
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Active Learning for Interactive Visualization |
Tomoharu Iwata, University of Cambridge; Neil
Houlsby, University of Cambridge; Zoubin Ghahramani, University of Cambridge |
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ODE parameter inference using adaptive gradient
matching with Gaussian processes |
Frank Dondelinger, Biomathematics and Statistics
Scotland; Dirk Husmeier, University of Glasgow; Simon Rogers, University of
Glasgow; Maurizio Filippone, University of Glasgow |
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Exact Learning of Bounded Tree-width Bayesian
Networks |
Janne Korhonen, University of Helsinki; Pekka Parviainen, |
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Completeness Results for Lifted Variable Elimination |
Nima Taghipour, KU Leuven; Daan Fierens, KU LEUVEN;
Guy Van den Broeck, UCLA; Jesse Davis, KU LEUVEN; Hendrik Blockeel, KU LEUVEN |
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Fast Near-GRID Gaussian Process Regression |
Yuancheng Luo, University of Maryland; Ramani Duraiswami,
University of Maryland |
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Convex Collective Matrix Factorization |
Guillaume Bouchard, "Xerox Research Centre,
Europe"; Dawei Yin, Lehigh University; Shengbo Guo, Samsung Research
America |
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Meta-Transportability of Causal Effects: A Formal
Approach |
Elias Bareinboim, UCLA; Judea Pearl, UCLA |
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Why Steiner-tree type algorithms work for community
detection |
Mung Chiang, Princeton University; Henry Lam, Boston
University; Zhenming Liu, Princeton University; Harold Poor, Princeton
University |
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Clustering Oligarchies |
Margareta Ackerman, Caltech; Shai Ben David, ;
David Loker, University of Waterloo; Sivan Sabato, Microsoft Research |
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Structure Learning of Mixed Graphical Models |
Jason Lee, Computational Math & Engineeri; Trevor Hastie,
Stanford University |
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A Simple Criterion for Controlling Selection Bias |
Eunice Yuh-Jie Chen, UCLA; Judea Pearl, UCLA |
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Clustered Support Vector Machine |
Quanquan Gu, CS, UIUC; Jiawei Han, UIUC |
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A Competitive Test for Uniformity of Monotone
Distributions |
Jayadev Acharya, University of California, San
Diego; Ashkan Jafarpour, Univ. of California, San Diego; Alon Orlitsky,
University of California, San Diego; Ananda Suresh, University of California,
San Diego |
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Deep Gaussian Processes |
Andreas Damianou, University of Sheffield; Neil Lawrence,
University of Sheffield |
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Permutation estimation and minimax rates of
identifiability |
Olivier Collier, IMAGINE-ENPC / CREST-ENSAE; Arnak Dalalyan,
Ecole des Ponts ParisTech |
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Bayesian Structure Learning for Functional
Neuroimaging |
Oluwasanmi Koyejo, University of Texas at Austin;
Mijung Park, UT Austin; Russell Poldrack, University of Texas at Austin;
Joydeep Ghosh, University of Texas at Austin; Jonathan Pillow, The University
of Texas at Austin |
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Dual Decomposition for Joint Discrete-Continuous
Optimization |
Christopher Zach, Microsoft Research |
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Distribution-Free Distribution Regression |
Barnabas Poczos, Carnegie Mellon University; Aarti
Singh, Carnegie Mellon University; Alessandro Rinaldo, Carnegie Mellon
University; Larry Wasserman, |
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A Last-Step Regression Algorithm for Non-Stationary
Online Learning |
Edward Moroshko, Technion; Koby Crammer, Technion University |
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Efficiently Sampling Probabilistic Programs via
Program Analysis |
Arun Chaganty, ; Aditya Nori, Microsoft Research India;
Sriram Rajamani, |
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