Papers
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
Global Convergence of Online Limited Memory BFGS
Aryan Mokhtari, Alejandro Ribeiro
A Direct Estimation of High Dimensional Stationary Vector Autoregressions
Fang Han, Huanran Lu, Han Liu
Discrete Reproducing Kernel Hilbert Spaces: Sampling and Distribution of Dirac-masses
Palle Jorgensen, Feng Tian
Eigenwords: Spectral Word Embeddings
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar
Completing Any Low-rank Matrix, Provably
Yudong Chen, Srinadh Bhojanapalli, Sujay Sanghavi et al.
Comparing Hard and Overlapping Clusterings
Danilo Horta, Ricardo J.G.B. Campello
Combination of Feature Engineering and Ranking Models for Paper-Author Identification in KDD Cup 2013
Chun-Liang Li, Yu-Chuan Su, Ting-Wei Lin et al.
Optimality of Poisson Processes Intensity Learning with Gaussian Processes
Alisa Kirichenko, Harry van Zanten
The Randomized Causation Coefficient
David Lopez-Paz, Krikamol Muandet, Benjamin Recht
Linear Dimensionality Reduction: Survey, Insights, and Generalizations
John P. Cunningham, Zoubin Ghahramani
CEKA: A Tool for Mining the Wisdom of Crowds
Jing Zhang, Victor S. Sheng, Bryce A. Nicholson et al.
Optimal Bayesian Estimation in Random Covariate Design with a Rescaled Gaussian Process Prior
Debdeep Pati, Anirban Bhattacharya, Guang Cheng
Online Tensor Methods for Learning Latent Variable Models
Furong Huang, U. N. Niranjan, Mohammad Umar Hakeem et al.
A View of Margin Losses as Regularizers of Probability Estimates
Hamed Masnadi-Shirazi, Nuno Vasconcelos
Decision Boundary for Discrete Bayesian Network Classifiers
Gherardo Varando, Concha Bielza, Pedro Larrañaga
Absent Data Generating Classifier for Imbalanced Class Sizes
Arash Pourhabib, Bani K. Mallick, Yu Ding
When Are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity
Animashree Anandkumar, Daniel Hsu, Majid Janzamin et al.
pyGPs -- A Python Library for Gaussian Process Regression and Classification
Marion Neumann, Shan Huang, Daniel E. Marthaler et al.