Papers
Separating Disambiguation from Composition in Distributional Semantics
Dimitri Kartsaklis, Mehrnoosh Sadrzadeh, Stephen Pulman
Better Word Representations with Recursive Neural Networks for Morphology
Thang Luong, Richard Socher, Christopher Manning
Hidden Markov tree models for semantic class induction
Édouard Grave, Guillaume Obozinski, Francis Bach
Documents and Dependencies: an Exploration of Vector Space Models for Semantic Composition
Alona Fyshe, Brian Murphy, Partha Talukdar et al.
Learning Adaptable Patterns for Passage Reranking
Aliaksei Severyn, Massimo Nicosia, Alessandro Moschitti
Sentence Compression with Joint Structural Inference
Kapil Thadani, Kathleen McKeown
Spectral Learning of Refinement HMMs
Karl Stratos, Alexander Rush, Shay B. Cohen et al.
A Boosted Semi-Markov Perceptron
Tomoya Iwakura
Graph-Based Posterior Regularization for Semi-Supervised Structured Prediction
Luheng He, Jennifer Gillenwater, Ben Taskar
Supervised Morphological Segmentation in a Low-Resource Learning Setting using Conditional Random Fields
Teemu Ruokolainen, Oskar Kohonen, Sami Virpioja et al.
Analysis of Stopping Active Learning based on Stabilizing Predictions
Michael Bloodgood, John Grothendieck
Online Active Learning for Cost Sensitive Domain Adaptation
Min Xiao, Yuhong Guo
Proceedings of the Seventeenth Conference on Computational Natural Language Learning
Julia Hockenmaier, Sebastian Riedel
Complexity Theoretic Lower Bounds for Sparse Principal Component Detection
Quentin Berthet, Philippe Rigollet
Efficient Learning of Simplices
Joseph Anderson, Navin Goyal, Luis Rademacher
Online Learning with Predictable Sequences
Alexander Rakhlin, Karthik Sridharan
Competing With Strategies
Wei Han, Alexander Rakhlin, Karthik Sridharan
Boosting with the Logistic Loss is Consistent
Matus Telgarsky
Adaptive Crowdsourcing Algorithms for the Bandit Survey Problem
Ittai Abraham, Omar Alonso, Vasilis Kandylas et al.
A Tensor Spectral Approach to Learning Mixed Membership Community Models
Animashree Anandkumar, Rong Ge, Daniel Hsu et al.
Learning a set of directions
Wouter M. Koolen, Jiazhong Nie, Manfred Warmuth
Differentially Private Feature Selection via Stability Arguments, and the Robustness of the Lasso
Abhradeep Guha Thakurta, Adam Smith
Optimal Probability Estimation with Applications to Prediction and Classification
Jayadev Acharya, Ashkan Jafarpour, Alon Orlitsky et al.