Papers
Using More Data to Speed-up Training Time
Shai Shalev-Shwartz, Ohad Shamir, Eran Tromer
Variable Selection for Gaussian Graphical Models
Jean Honorio, Dimitris Samaras, Irina Rish et al.
Wilks’ phenomenon and penalized likelihood-ratio test for nonparametric curve registration
Arnak Dalalyan, Olivier Collier
A conditional game for comparing approximations
Frederik Eaton
Active Boosted Learning (ActBoost)
Kirill Trapeznikov, Venkatesh Saligrama, David Castanon
Active Clustering: Robust and Efficient Hierarchical Clustering using Adaptively Selected Similarities
Brian Eriksson, Gautam Dasarathy, Aarti Singh et al.
Active Diagnosis under Persistent Noise with Unknown Noise Distribution: A Rank-Based Approach
Gowtham Bellala, Suresh Bhavnani, Clayton Scott
Adaptive Bandits: Towards the best history-dependent strategy
Maillard Odalric, Rémi Munos
A Dynamic Relational Infinite Feature Model for Longitudinal Social Networks
James Foulds, Christopher DuBois, Arthur Asuncion et al.
A Fast Algorithm for Recovery of Jointly Sparse Vectors based on the Alternating Direction Methods
Hongtao Lu, Xianzhong Long, Jingyuan Lv
A Finite Newton Algorithm for Non-degenerate Piecewise Linear Systems
Xiao–Tong Yuan, Shuicheng Yan
An Analysis of Single-Layer Networks in Unsupervised Feature Learning
Adam Coates, Andrew Ng, Honglak Lee
An Instantiation-Based Theorem Prover for First-Order Programming
Erik Zawadzki, Geoffrey Gordon, Andre Platzer
A novel greedy algorithm for Nyström approximation
Ahmed Farahat, Ali Ghodsi, Mohamed Kamel
Approximate inference for the loss-calibrated Bayesian
Simon Lacoste–Julien, Ferenc Huszár, Zoubin Ghahramani
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
Stephane Ross, Geoffrey Gordon, Drew Bagnell
A Spike and Slab Restricted Boltzmann Machine
Aaron Courville, James Bergstra, Yoshua Bengio
Assisting Main Task Learning by Heterogeneous Auxiliary Tasks with Applications to Skin Cancer Screening
Ning Situ, Xiaojing Yuan, George Zouridakis
Asymptotic Theory for Linear-Chain Conditional Random Fields
Mathieu Sinn, Pascal Poupart
Bayesian Hierarchical Cross-Clustering
Dazhuo Li, Patrick Shafto
Block-sparse Solutions using Kernel Block RIP and its Application to Group Lasso
Rahul Garg, Rohit Khandekar
Bridging the Language Gap: Topic Adaptation for Documents with Different Technicality
Shuang–Hong Yang, Steven P. Crain, Hongyuan Zha
CAKE: Convex Adaptive Kernel Density Estimation
Ravi Sastry Ganti Mahapatruni, Alexander Gray
Can matrix coherence be efficiently and accurately estimated?
Mehryar Mohri, Ameet Talwalkar