Papers
Approximate Dynamic Programming for Two-Player Zero-Sum Markov Games
Julien Perolat, Bruno Scherrer, Bilal Piot et al.
A Probabilistic Model for Dirty Multi-task Feature Selection
Daniel Hernandez-Lobato, Jose Miguel Hernandez-Lobato, Zoubin Ghahramani
A Provable Generalized Tensor Spectral Method for Uniform Hypergraph Partitioning
Debarghya Ghoshdastidar, Ambedkar Dukkipati
A Relative Exponential Weighing Algorithm for Adversarial Utility-based Dueling Bandits
Pratik Gajane, Tanguy Urvoy, Fabrice Clérot
Asymmetric Transfer Learning with Deep Gaussian Processes
Melih Kandemir
A Theoretical Analysis of Metric Hypothesis Transfer Learning
Michaël Perrot, Amaury Habrard
Atomic Spatial Processes
Sean Jewell, Neil Spencer, Alexandre Bouchard-Côté
A trust-region method for stochastic variational inference with applications to streaming data
Lucas Theis, Matt Hoffman
Attribute Efficient Linear Regression with Distribution-Dependent Sampling
Doron Kukliansky, Ohad Shamir
A Unified Framework for Outlier-Robust PCA-like Algorithms
Wenzhuo Yang, Huan Xu
A Unifying Framework of Anytime Sparse Gaussian Process Regression Models with Stochastic Variational Inference for Big Data
Trong Nghia Hoang, Quang Minh Hoang, Bryan Kian Hsiang Low
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe, Christian Szegedy
Bayesian and Empirical Bayesian Forests
Taddy Matthew, Chun-Sheng Chen, Jun Yu et al.
Bayesian Multiple Target Localization
Purnima Rajan, Weidong Han, Raphael Sznitman et al.
BilBOWA: Fast Bilingual Distributed Representations without Word Alignments
Stephan Gouws, Yoshua Bengio, Greg Corrado
Bimodal Modelling of Source Code and Natural Language
Miltos Allamanis, Daniel Tarlow, Andrew Gordon et al.
Binary Embedding: Fundamental Limits and Fast Algorithm
Xinyang Yi, Constantine Caramanis, Eric Price
Bipartite Edge Prediction via Transductive Learning over Product Graphs
Hanxiao Liu, Yiming Yang
Blitz: A Principled Meta-Algorithm for Scaling Sparse Optimization
Tyler Johnson, Carlos Guestrin
Boosted Categorical Restricted Boltzmann Machine for Computational Prediction of Splice Junctions
Taehoon Lee, Sungroh Yoon
Budget Allocation Problem with Multiple Advertisers: A Game Theoretic View
Takanori Maehara, Akihiro Yabe, Ken-ichi Kawarabayashi
Cascading Bandits: Learning to Rank in the Cascade Model
Branislav Kveton, Csaba Szepesvari, Zheng Wen et al.
Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components
Philipp Geiger, Kun Zhang, Bernhard Schoelkopf et al.
Celeste: Variational inference for a generative model of astronomical images
Jeffrey Regier, Andrew Miller, Jon McAuliffe et al.