Papers
Reducing Dueling Bandits to Cardinal Bandits
Nir Ailon, Zohar Karnin, Thorsten Joachims
Local Ordinal Embedding
Yoshikazu Terada, Ulrike Luxburg
Composite Quantization for Approximate Nearest Neighbor Search
Ting Zhang, Chao Du, Jingdong Wang
Learning Complex Neural Network Policies with Trajectory Optimization
Sergey Levine, Vladlen Koltun
Efficient Algorithms for Robust One-bit Compressive Sensing
Lijun Zhang, Jinfeng Yi, Rong Jin
Putting MRFs on a Tensor Train
Alexander Novikov, Anton Rodomanov, Anton Osokin et al.
Coupled Group Lasso for Web-Scale CTR Prediction in Display Advertising
Ling Yan, Wu-Jun Li, Gui-Rong Xue et al.
Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm
Hadi Daneshmand, Manuel Gomez-Rodriguez, Le Song et al.
Efficient Label Propagation
Yasuhiro Fujiwara, Go Irie
Multivariate Maximal Correlation Analysis
Hoang Vu Nguyen, Emmanuel Müller, Jilles Vreeken et al.
Cold-start Active Learning with Robust Ordinal Matrix Factorization
Neil Houlsby, Jose Miguel Hernandez-Lobato, Zoubin Ghahramani
Online Clustering of Bandits
Claudio Gentile, Shuai Li, Giovanni Zappella
A Unifying View of Representer Theorems
Andreas Argyriou, Francesco Dinuzzo
Nonmyopic ε-Bayes-Optimal Active Learning of Gaussian Processes
Trong Nghia Hoang, Bryan Kian Hsiang Low, Patrick Jaillet et al.
The Falling Factorial Basis and Its Statistical Applications
Yu-Xiang Wang, Alex Smola, Ryan Tibshirani
Learning Mixtures of Linear Classifiers
Yuekai Sun, Stratis Ioannidis, Andrea Montanari
K-means recovers ICA filters when independent components are sparse
Alon Vinnikov, Shai Shalev-Shwartz
Topic Modeling using Topics from Many Domains, Lifelong Learning and Big Data
Zhiyuan Chen, Bing Liu
Global graph kernels using geometric embeddings
Fredrik Johansson, Vinay Jethava, Devdatt Dubhashi et al.
Fast Computation of Wasserstein Barycenters
Marco Cuturi, Arnaud Doucet
Coding for Random Projections
Ping Li, Michael Mitzenmacher, Anshumali Shrivastava
Statistical analysis of stochastic gradient methods for generalized linear models
Panagiotis Toulis, Edoardo Airoldi, Jason Rennie
A Single-Pass Algorithm for Efficiently Recovering Sparse Cluster Centers of High-dimensional Data
Jinfeng Yi, Lijun Zhang, Jun Wang et al.
Structured Generative Models of Natural Source Code
Chris Maddison, Daniel Tarlow
Nonparametric Estimation of Multi-View Latent Variable Models
Le Song, Animashree Anandkumar, Bo Dai et al.