Papers
A Compositional and Interpretable Semantic Space
Alona Fyshe, Leila Wehbe, Partha P. Talukdar et al.
Improving unsupervised vector-space thematic fit evaluation via role-filler prototype clustering
Clayton Greenberg, Asad Sayeed, Vera Demberg
Predicate Argument Alignment using a Global Coherence Model
Travis Wolfe, Mark Dredze, Benjamin Van Durme
Unsupervised Induction of Semantic Roles within a Reconstruction-Error Minimization Framework
Ivan Titov, Ehsan Khoddam
Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Rada Mihalcea, Joyce Chai, Anoop Sarkar
partykit: A Modular Toolkit for Recursive Partytioning in R
Torsten Hothorn, Achim Zeileis
PAC Optimal MDP Planning with Application to Invasive Species Management
Majid Alkaee Taleghan, Thomas G. Dietterich, Mark Crowley et al.
Marginalizing Stacked Linear Denoising Autoencoders
Minmin Chen, Kilian Q. Weinberger, Zhixiang (Eddie) Xu et al.
Graphical Models via Univariate Exponential Family Distributions
Eunho Yang, Pradeep Ravikumar, Genevera I. Allen et al.
Condition for Perfect Dimensionality Recovery by Variational Bayesian PCA
Shinichi Nakajima, Ryota Tomioka, Masashi Sugiyama et al.
Non-Asymptotic Analysis of a New Bandit Algorithm for Semi-Bounded Rewards
Junya Honda, Akimichi Takemura
Learning to Identify Concise Regular Expressions that Describe Email Campaigns
Paul Prasse, Christoph Sawade, Niels Landwehr et al.
Supervised Learning via Euler's Elastica Models
Tong Lin, Hanlin Xue, Ling Wang et al.
Convergence Rates for Persistence Diagram Estimation in Topological Data Analysis
Frédéric Chazal, Marc Glisse, Catherine Labruère et al.
Minimax Analysis of Active Learning
Steve Hanneke, Liu Yang
SnFFT: A Julia Toolkit for Fourier Analysis of Functions over Permutations
Gregory Plumb, Deepti Pachauri, Risi Kondor et al.
Agnostic Learning of Disjunctions on Symmetric Distributions
Vitaly Feldman, Pravesh Kothari
On the Inductive Bias of Dropout
David P. Helmbold, Philip M. Long
Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares
Trevor Hastie, Rahul Mazumder, Jason D. Lee et al.
Learning Theory of Randomized Kaczmarz Algorithm
Junhong Lin, Ding-Xuan Zhou
Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates
Yuchen Zhang, John Duchi, Martin Wainwright
Plug-and-Play Dual-Tree Algorithm Runtime Analysis
Ryan R. Curtin, Dongryeol Lee, William B. March et al.
Ultra-Scalable and Efficient Methods for Hybrid Observational and Experimental Local Causal Pathway Discovery
Alexander Statnikov, Sisi Ma, Mikael Henaff et al.
On Semi-Supervised Linear Regression in Covariate Shift Problems
Kenneth Joseph Ryan, Mark Vere Culp