Papers
Bayesian Hierarchical Cross-Clustering
Dazhuo Li, Patrick Shafto
Bayesian Inference for Statistical Abduction Using Markov Chain Monte Carlo
Masakuzu Ishihata, Taisuke Sato
Bayesian Inference for Zodiac and Other Homophonic Ciphers
Sujith Ravi, Kevin Knight
Bayesian Partitioning of Large-Scale Distance Data
David Adametz, Volker Roth
Bayesian Spike-Triggered Covariance Analysis
ll Memming Park, Jonathan W. Pillow
Bayesian Subtree Alignment Model based on Dependency Trees
Toshiaki Nakazawa, Sadao Kurohashi
Bayesian Word Alignment for Statistical Machine Translation
Coşkun Mermer, Murat Saraçlar
Beam-Width Prediction for Efficient Context-Free Parsing
Nathan Bodenstab, Aaron Dunlop, Keith Hall et al.
Beating SGD: Learning SVMs in Sublinear Time
Elad Hazan, Tomer Koren, Nati Srebro
Better Algorithms for Benign Bandits
Elad Hazan, Satyen Kale
Better Automatic Treebank Conversion Using A Feature-Based Approach
Muhua Zhu, Jingbo Zhu, Minghan Hu
Better Evaluation Metrics Lead to Better Machine Translation
Chang Liu, Daniel Dahlmeier, Hwee Tou Ng
Better Hypothesis Testing for Statistical Machine Translation: Controlling for Optimizer Instability
Jonathan H. Clark, Chris Dyer, Alon Lavie et al.
Better Mini-Batch Algorithms via Accelerated Gradient Methods
Andrew Cotter, Ohad Shamir, Nati Srebro et al.
Beyond Normalization: Pragmatics of Word Form in Text Messages
Tyler Baldwin, Joyce Chai
Beyond Spectral Clustering - Tight Relaxations of Balanced Graph Cuts
Matthias Hein, Simon Setzer
Bilateral Teleoperation of Groups of UAVs with Decentralized Connectivity Maintenance
Paolo Robuffo Giordano, Antonio Franchi, Cristian Secchi et al.
Binarized Forest to String Translation
Hao Zhang, Licheng Fang, Peng Xu et al.
Blackwell Approachability and No-Regret Learning are Equivalent
Jacob Abernethy, Peter L. Bartlett, Elad Hazan
Blending Autonomous Exploration and Apprenticeship Learning
Thomas J. Walsh, Daniel K. Hewlett, Clayton T. Morrison
Block-sparse Solutions using Kernel Block RIP and its Application to Group Lasso
Rahul Garg, Rohit Khandekar
Boosting with Maximum Adaptive Sampling
Charles Dubout, Francois Fleuret