Papers
Intersecting Faces: Non-negative Matrix Factorization With New Guarantees
Rong Ge, James Zou
Is Feature Selection Secure against Training Data Poisoning?
Huang Xiao, Battista Biggio, Gavin Brown et al.
JUMP-Means: Small-Variance Asymptotics for Markov Jump Processes
Jonathan Huggins, Karthik Narasimhan, Ardavan Saeedi et al.
Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP)
Andrew Wilson, Hannes Nickisch
K-hyperplane Hinge-Minimax Classifier
Margarita Osadchy, Tamir Hazan, Daniel Keren
Landmarking Manifolds with Gaussian Processes
Dawen Liang, John Paisley
Large-scale Distributed Dependent Nonparametric Trees
Zhiting Hu, Ho Qirong, Avinava Dubey et al.
Large-scale log-determinant computation through stochastic Chebyshev expansions
Insu Han, Dmitry Malioutov, Jinwoo Shin
Large-Scale Markov Decision Problems with KL Control Cost and its Application to Crowdsourcing
Yasin Abbasi-Yadkori, Peter Bartlett, Xi Chen et al.
Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data
Yarin Gal, Yutian Chen, Zoubin Ghahramani
Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models
James Foulds, Shachi Kumar, Lise Getoor
Learning Deep Structured Models
Liang-Chieh Chen, Alexander Schwing, Alan Yuille et al.
Learning Fast-Mixing Models for Structured Prediction
Jacob Steinhardt, Percy Liang
Learning from Corrupted Binary Labels via Class-Probability Estimation
Aditya Menon, Brendan Van Rooyen, Cheng Soon Ong et al.
Learning Local Invariant Mahalanobis Distances
Ethan Fetaya, Shimon Ullman
Learning Parametric-Output HMMs with Two Aliased States
Roi Weiss, Boaz Nadler
Learning Program Embeddings to Propagate Feedback on Student Code
Chris Piech, Jonathan Huang, Andy Nguyen et al.
Learning Scale-Free Networks by Dynamic Node Specific Degree Prior
Qingming Tang, Siqi Sun, Jinbo Xu
Learning Submodular Losses with the Lovasz Hinge
Jiaqian Yu, Matthew Blaschko
Learning to Search Better than Your Teacher
Kai-Wei Chang, Akshay Krishnamurthy, Alekh Agarwal et al.
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long, Yue Cao, Jianmin Wang et al.
Learning Word Representations with Hierarchical Sparse Coding
Dani Yogatama, Manaal Faruqui, Chris Dyer et al.
Log-Euclidean Metric Learning on Symmetric Positive Definite Manifold with Application to Image Set Classification
Zhiwu Huang, Ruiping Wang, Shiguang Shan et al.
Long Short-Term Memory Over Recursive Structures
Xiaodan Zhu, Parinaz Sobihani, Hongyu Guo
Low Rank Approximation using Error Correcting Coding Matrices
Shashanka Ubaru, Arya Mazumdar, Yousef Saad