Papers
Integrated Non-Factorized Variational Inference
Shaobo Han, Xuejun Liao, Lawrence Carin
Action is in the Eye of the Beholder: Eye-gaze Driven Model for Spatio-Temporal Action Localization
Nataliya Shapovalova, Michalis Raptis, Leonid Sigal et al.
Bayesian Inference and Online Experimental Design for Mapping Neural Microcircuits
Ben Shababo, Brooks Paige, Ari Pakman et al.
Learning to Pass Expectation Propagation Messages
Nicolas Heess, Daniel Tarlow, John Winn
Convergence of Monte Carlo Tree Search in Simultaneous Move Games
Viliam Lisy, Vojta Kovarik, Marc Lanctot et al.
Efficient Online Inference for Bayesian Nonparametric Relational Models
Dae Il Kim, Prem Gopalan, David Blei et al.
Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression
Michalis Titsias RC AUEB, Miguel Lazaro-Gredilla
Convex Tensor Decomposition via Structured Schatten Norm Regularization
Ryota Tomioka, Taiji Suzuki
Graphical Models for Inference with Missing Data
Karthika Mohan, Judea Pearl, Jin Tian
A Novel Two-Step Method for Cross Language Representation Learning
Min Xiao, Yuhong Guo
Reinforcement Learning in Robust Markov Decision Processes
Shiau Hong Lim, Huan Xu, Shie Mannor
Learning and using language via recursive pragmatic reasoning about other agents
Nathaniel J Smith, Noah Goodman, Michael Frank
Multi-Prediction Deep Boltzmann Machines
Ian Goodfellow, Mehdi Mirza, Aaron Courville et al.
A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks
Junming Yin, Qirong Ho, Eric P Xing
Accelerated Mini-Batch Stochastic Dual Coordinate Ascent
Shai Shalev-Shwartz, Tong Zhang
A Kernel Test for Three-Variable Interactions
Dino Sejdinovic, Arthur Gretton, Wicher Bergsma
A Graphical Transformation for Belief Propagation: Maximum Weight Matchings and Odd-Sized Cycles
Jinwoo Shin, Andrew E Gelfand, Misha Chertkov
Sequential Transfer in Multi-armed Bandit with Finite Set of Models
Mohammad Gheshlaghi azar, Alessandro Lazaric, Emma Brunskill
On the Relationship Between Binary Classification, Bipartite Ranking, and Binary Class Probability Estimation
Harikrishna Narasimhan, Shivani Agarwal
Robust Bloom Filters for Large MultiLabel Classification Tasks
Moustapha M Cisse, Nicolas Usunier, Thierry Artières et al.
On model selection consistency of penalized M-estimators: a geometric theory
Jason Lee, Yuekai Sun, Jonathan E Taylor
Transportability from Multiple Environments with Limited Experiments
Elias Bareinboim, Sanghack Lee, Vasant Honavar et al.
Third-Order Edge Statistics: Contour Continuation, Curvature, and Cortical Connections
Matthew Lawlor, Steven W Zucker
Approximate Gaussian process inference for the drift function in stochastic differential equations
Andreas Ruttor, Philipp Batz, Manfred Opper