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A Framework for Optimizing Paper Matching |
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Laurent Charlin
, Richard Zemel
, Craig Boutilier
|
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A Geometric Traversal Algorithm for Reward-Uncertain MDPs |
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Eunsoo Oh
, Kee-Eung Kim
|
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A Logical Characterization of Constraint-Based Causal Discovery |
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Tom Claassen
, Tom Heskes
|
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A Sequence of Relaxation Constraining Hidden Variable Models |
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Greg Ver Steeg
, Aram Galstyan
|
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A temporally abstracted Viterbi algorithm |
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Shaunak Chatterjee
, Stuart Russell
|
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A Unifying Framework for Linearly Solvable Control |
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Krishnamurthy Dvijotham
, Emanuel Todorov
|
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Active Diagnosis via AUC Maximization: An Efficient Approach for Multiple Fault Identification in Large Scale, Noisy Networks |
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Gowtham Bellala
, Jason Stanley
, Clayton Scott
, Suresh Bhavnani
|
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Active Learning for Developing Personalized Treatment |
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Kun Deng
, Joelle Pineau
, Susan Murphy
|
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Active Semi-Supervised Learning using Submodular Functions |
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Andrew Guillory
, Jeff Bilmes
|
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Adjustment Criteria in Causal Diagrams: An Algorithmic Perspective |
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Johannes Textor
, Maciej Liskiewicz
|
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An Efficient Algorithm for Computing Interventional Distributions in Latent Variable Causal Models |
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Ilya Shpitser
, Thomas Richardson
, James Robins
|
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An Efficient Protocol for Negotiation over Combinatorial Domains with Incomplete Information |
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Minyi Li
, Quoc Bao Vo
, Ryszard Kowalczyk
|
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Approximation by Quantization |
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Vibhav Gogate
, Pedro Domingos
|
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Asymptotic Efficiency of Deterministic Estimators for Discrete Energy-Based Models: Ratio Matching and Pseudolikelihood |
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Benjamin Marlin
, Nando de Freitas
|
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Bayesian network learning with cutting planes |
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James Cussens
|
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Belief change with noisy sensing in the situation calculus |
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Jianbing Ma
, Weiru Liu
, Paul Miller
|
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Belief Propagation by Message Passing in Junction Trees: Computing Each Message Faster Using GPU Parallelization |
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Lu Zheng
, Ole Mengshoel
, Jike Chong
|
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Boosting as a Product of Experts |
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Narayanan Edakunni
, Gary Brown
, Tim Kovacs
|
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Bregman divergence as general framework to estimate unnormalized statistical models |
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Michael Gutmann
, Jun-ichiro Hirayama
|
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Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs (Abstract) |
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Alain Hauser
, Peter Buhlmann
|
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Classification of Sets using Restricted Boltzmann Machines |
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Jerome Louradour
, Hugo Larochelle
|
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Compact Mathematical Programs For DEC-MDPs With Structured Agent Interactions |
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Hala Mostafa
, Victor Lesser
|
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Compressed Inference for Probabilistic Sequential Models |
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Gungor Polatkan
, Oncel Tuzel
|
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Conditional Restricted Boltzmann Machines for Structured Output Prediction |
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Volodymyr Mnih
, Hugo Larochelle
, Geoffrey Hinton
|
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Correction for Hidden Confounders in the Genetic Analysis of Gene Expression |
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Jennifer Listgarden
, Carl Kadie
, Eric Schadt
, David Heckerman
|
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Deconvolution of mixing time series on a graph |
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Alexander Blocker
, Edoardo Airoldi
|
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Detecting low-complexity unobserved causes |
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Dominik Janzing
, Eleni Sgouritsa
, Oliver Stegle
, Jonas Peters
, Bernhard Schoelkopf
|
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Discovering causal structures in binary exclusive-or skew acyclic models |
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Takanori Inazumi
, Takashi Washio
, Shohei Shimizu
, Joe Suzuki
, Akihiro Yamamoto
, Yoshinobu Kawahara
|
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Distributed Anytime MAP Inference |
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Joop van de Ven
, Fabio Ramos
|
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Dynamic consistency and decision making under vacuous belief |
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Phan Giang
|
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Dynamic Mechanism Design for Markets with Strategic Resources |
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Swaprava Nath
, Onno Zoeter
, Yadati Narahari
, Christopher Dance
|
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EDML: A Method for Learning Parameters in Bayesian Networks |
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Arthur Choi
, Khaled Refaat
, Adnan Darwiche
|
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Efficient Inference in Markov Control Problems |
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Thomas Furmston
, David Barber
|
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Efficient Optimal Learning for Contextual Bandits |
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Miroslav Dudik
, Daniel Hsu
, Satyen Kale
, Nikos Karampatziakis
, John Langford
, Lev Reyzin
, Tong Zhang
|
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Efficient Probabilistic Inference with Partial Ranking Queries |
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Jonathan Huang
, Ashish Kapoor
, Carlos Guestrin
|
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Ensembles of Kernel Predictors |
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Corinna Cortes
, Mehryar Mohri
, Afshin Rostamizadeh
|
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Extended Lifted Inference with Joint Formulas |
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Udi Apsel
, Ronen Brafman
|
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Factored Filtering of Continuous-Time Systems |
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E. Celikkaya
, Christian Shelton
, William Lam
|
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Fast MCMC sampling for Markov jump processes and continuous time Bayesian networks |
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Vinayak Rao
, Yee Whye Teh
|
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Filtered Fictitious Play for Perturbed Observation Potential Games and Decentralised POMDPs |
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Archie Chapman
, Simon Williamson
, Nicholas Jennings
|
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Fractional Moments on Bandit Problems |
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Ananda Narayanan B
, Balaraman Ravindran
|
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Generalised Wishart Processes |
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Andrew Wilson
, Zoubin Ghahramani
|
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Generalized Fast Approximate Energy Minimization via Graph Cuts: a-Expansion b-Shrink Moves |
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Mark Schmidt
, Karteek Alahari
|
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Generalized Fisher Score for Feature Selection |
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Quanquan Gu
, Zhenhui Li
, Jiawei Han
|
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Graph Cuts is a Max-Product Algorithm |
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Daniel Tarlow
, Inmar Givoni
, Richard Zemel
, Brendan Frey
|
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Graphical Models for Bandit Problems |
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Kareem Amin
, Michael Kearns
, Umar Syed
|
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Hierarchical Affinity Propagation |
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Inmar Givoni
, Clement Chung
, Brendan Frey
|
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Hierarchical Maximum Margin Learning for Multi-Class Classification |
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Jian-Bo Yang
, Ivor Tsang
|
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Identifiability of Causal Graphs using Functional Models |
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Jonas Peters
, Joris Mooij
, Dominik Janzing
, Bernhard Schoelkopf
|
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Improving the Scalability of Optimal Bayesian Network Learning with External-Memory Frontier Breadth-First Branch and Bound Search |
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Brandon Malone
, Changhe Yuan
, Eric Hansen
, Susan Bridges
|
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Incentives in Group Decision-Making With Uncertainty and Subjective Beliefs |
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Ruggiero Cavallo
|
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Inference in Probabilistic Logic Programs using Weighted CNF's |
|
Daan Fierens
, Guy Van den Broeck
, Ingo Thon
, Bernd Gutmann
, Luc De Raedt
|
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Iterated risk measures for risk-sensitive Markov decision processes with discounted cost |
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Takayuki Osogami
|
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Kernel-based Conditional Independence Test and Application in Causal Discovery |
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Kun Zhang
, Jonas Peters
, Dominik Janzing
, Bernhard Schoelkopf
|
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Learning Determinantal Point Processes |
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Alex Kulesza
, Ben Taskar
|
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Learning high-dimensional DAGs with latent and selection variables |
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Diego Colombo
, Marloes Maathuis
, Markus Kalisch
, Thomas Richardson
|
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Learning is planning: near Bayes-optimal reinforcement learning via Monte-Carlo tree search |
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John Asmuth
, Michael Littman
|
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Learning mixed graphical models from data with p larger than n |
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Inma Tur
, Robert Castelo
|
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Learning with Missing Features |
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Afshin Rostamizadeh
, Alekh Agarwal
, Peter Bartlett
|
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Lipschitz Parametrization of Probabilistic Graphical Models |
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Jean Honorio
|
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Measuring the Hardness of Stochastic Sampling on Bayesian Networks with Deterministic Causalities: the k-Test |
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Haohai Yu
, Robert van Engelen
|
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Message-Passing Algorithms for Quadratic Programming Formulations of MAP Estimation |
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Akshat Kumar
, Shlomo Zilberstein
|
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Modeling Social Networks with Node Attributes using the Multiplicative Attribute Graph Model |
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Myunghwan Kim
, Jure Leskovec
|
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Multidimensional counting grids: Inferring word order from disordered bags of words |
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Nebojsa Jojic
, Alessandro Perina
|
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Near-Optimal Target Learning With Stochastic Binary Signals |
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Mithun Chakraborty
, Sanmay Das
, Malik Magdon-Ismail
|
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New Probabilistic Bounds on Eigenvalues and Eigenvectors of Random Kernel Matrices |
|
Nima Reyhani
, Hideitsu Hino
, Ricardo Vigario
|
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Noisy Search with Comparative Feedback |
|
Shiau Lim
, Peter Auer
|
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Noisy-OR Models with Latent Confounding |
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Antti Hyttinen
, Frederick Eberhardt
, Patrik Hoyer
|
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Nonparametric Divergence Estimation with Applications to Machine Learning on Distributions |
|
Barnabas Poczos
, Liang Xiong
, Jeff Schneider
|
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On the Complexity of Decision Making in Possibilistic Decision Trees |
|
Helene Fargier
, Nahla Ben Amor
, Wided Guezguez
|
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Online Importance Weight Aware Updates |
|
Nikos Karampatziakis
, John Langford
|
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Order-of-Magnitude Influence Diagrams |
|
Radu Marinescu
, Nic Wilson
|
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PAC-Bayesian Policy Evaluation for Reinforcement Learning |
|
Mahdi Fard
, Joelle Pineau
, Csaba Szepesvari
|
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Partial Order MCMC for Structure Discovery in Bayesian Networks |
|
Teppo Niinimaki
, Pekka Parviainen
, Mikko Koivisto
|
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Pitman-Yor Diffusion Trees |
|
David Knowles
, Zoubin Ghahramani
|
|
Planar Cycle Covering Graphs |
|
Julian Yarkony
, Alexander Ihler
, Charless Fowlkes
|
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Portfolio Allocation for Bayesian Optimization |
|
Matthew Hoffman
, Eric Brochu
, Nando de Freitas
|
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Price Updating in Combinatorial Prediction Markets with Bayesian Networks |
|
David Pennock
, Lirong Xia
|
|
Probabilistic Theorem Proving |
|
Vibhav Gogate
, Pedro Domingos
|
|
Rank/Norm Regularization with Closed-Form Solutions: Application to Subspace Clustering |
|
Yao-Liang Yu
, Dale Schuurmans
|
|
Reasoning about RoboCup Soccer Narratives |
|
Hannaneh Hajishirzi
, Julia Hockenmaier
, Erik Mueller
, Eyal Amir
|
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Reconstructing Pompeian Households |
|
David Mimno
|
|
Risk Bounds for Infinitely Divisible Distribution |
|
Chao Zhang
, Dacheng Tao
|
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Robust learning Bayesian networks for prior belief |
|
Maomi Ueno
|
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Semi-supervised Learning with Density Based Distances |
|
Avleen Bijral
, Nathan Ratliff
, Nathan Srebro
|
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Sequential Inference for Latent Force Models |
|
Jouni Hartikainen
, Simo Sarkka
|
|
Smoothing Multivariate Performance Measures |
|
Xinhua Zhang
, Ankan Saha
, S. Vishwanatan
|
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Smoothing Proximal Gradient Method for General Structured Sparse Learning |
|
Xi Chen
, Qihang Lin
, Seyoung Kim
, Jaime Carbonell
, Eric Xing
|
|
Solving Cooperative Reliability Games |
|
Yoram Bachrach
, Reshef Meir
, Michal Feldman
, Moshe Tennenholtz
|
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Sparse matrix-variate Gaussian process blockmodels for network modeling |
|
Feng Yan
, Zenglin Xu
, Yuan (Alan) Qi
|
|
Sparse Topical Coding |
|
Jun Zhu
, Eric Xing
|
|
Statistical Mechanics of Semi-Supervised Clustering in Sparse Graphs |
|
Greg Ver Steeg
, Aram Galstyan
, Armen Allahveryan
|
|
Strictly Proper Mechanisms with Cooperating Players |
|
SangIn Chun
, Ross Shachter
|
|
Suboptimality Bounds for Stochastic Shortest Path Problems |
|
Eric Hansen
|
|
Sum-Product Networks: A New Deep Architecture |
|
Hoifung Poon
, Pedro Domingos
|
|
Symbolic Dynamic Programming for Discrete and Continuous State MDPs |
|
Scott Sanner
, Karina Valdivia Delgado
, Leliane Nunes de Barros
|
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Testing whether linear equations are causal: A free probability theory approach |
|
Jakob Zscheischler
, Dominik Janzing
, Kun Zhang
|
|
The Structure of Signals: Causal Interdependence Models for Games of Incomplete Information |
|
Michael Wellman
, Lu Hong
, Scott Page
|
|
Tightening MRF Relaxations with Planar Subproblems |
|
Julian Yarkony
, Ragib Morshed
, Alexander Ihler
, Charless Fowlkes
|
|
Variational Algorithms for Marginal MAP |
|
Qiang Liu
, Alexander Ihler
|
|
What Cannot be Learned with Bethe Approximations |
|
Uri Heinemann
, Amir Globerson
|
