Papers
4,025 papers found
Sparse Higher-Order Principal Components Analysis
Genevera Allen
Sparsistency of the Edge Lasso over Graphs
James Sharpnack, Aarti Singh, Alessandro Rinaldo
SpeedBoost: Anytime Prediction with Uniform Near-Optimality
Alex Grubb, Drew Bagnell
Statistical Optimization in High Dimensions
Huan Xu, Constantine Caramanis, Shie Mannor
Statistical test for consistent estimation of causal effects in linear non-Gaussian models
Doris Entner, Patrik Hoyer, Peter Spirtes
Stick-Breaking Beta Processes and the Poisson Process
John Paisley, David Blei, Michael Jordan
Stochastic Bandit Based on Empirical Moments
Junya Honda, Akimichi Takemura
Structured Output Learning with High Order Loss Functions
Daniel Tarlow, Richard Zemel
Structured Sparse Canonical Correlation Analysis
Xi Chen, Liu Han, Jaime Carbonell
Subset Infinite Relational Models
Katsuhiko Ishiguro, Naonori Ueda, Hiroshi Sawada
Testing for Membership to the IFRA and the NBU Classes of Distributions
Radhendushka Srivastava, Ping Li, Debasis Sengupta
The adversarial stochastic shortest path problem with unknown transition probabilities
Gergely Neu, Andras Gyorgy, Csaba Szepesvari
There’s a Hole in My Data Space: Piecewise Predictors for Heterogeneous Learning Problems
Ofer Dekel, Ohad Shamir
Universal Measurement Bounds for Structured Sparse Signal Recovery
Nikhil Rao, Ben Recht, Robert Nowak
UPAL: Unbiased Pool Based Active Learning
Ravi Ganti, Alexander Gray
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.