Papers
Multi-Stage Multi-Task Feature Learning
Pinghua Gong, Jieping Ye, Chang-shui Zhang
Controlled Recognition Bounds for Visual Learning and Exploration
Vasiliy Karasev, Alessandro Chiuso, Stefano Soatto
Locating Changes in Highly Dependent Data with Unknown Number of Change Points
Azadeh Khaleghi, Daniil Ryabko
Regularized Off-Policy TD-Learning
Bo Liu, Sridhar Mahadevan, Ji Liu
Gradient Weights help Nonparametric Regressors
Samory Kpotufe, Abdeslam Boularias
Optimal Regularized Dual Averaging Methods for Stochastic Optimization
Xi Chen, Qihang Lin, Javier Pena
Minimization of Continuous Bethe Approximations: A Positive Variation
Jason Pacheco, Erik B. Sudderth
Shifting Weights: Adapting Object Detectors from Image to Video
Kevin Tang, Vignesh Ramanathan, Li Fei-fei et al.
Perfect Dimensionality Recovery by Variational Bayesian PCA
Shinichi Nakajima, Ryota Tomioka, Masashi Sugiyama et al.
Analog readout for optical reservoir computers
Anteo Smerieri, François Duport, Yvon Paquot et al.
Classification Calibration Dimension for General Multiclass Losses
Harish G. Ramaswamy, Shivani Agarwal
Predicting Action Content On-Line and in Real Time before Action Onset – an Intracranial Human Study
Uri Maoz, Shengxuan Ye, Ian Ross et al.
Proper losses for learning from partial labels
Jesús Cid-sueiro
Persistent Homology for Learning Densities with Bounded Support
Florian T. Pokorny, Hedvig Kjellström, Danica Kragic et al.
A Simple and Practical Algorithm for Differentially Private Data Release
Moritz Hardt, Katrina Ligett, Frank Mcsherry
Supervised Learning with Similarity Functions
Purushottam Kar, Prateek Jain
Accelerated Training for Matrix-norm Regularization: A Boosting Approach
Xinhua Zhang, Dale Schuurmans, Yao-liang Yu
On-line Reinforcement Learning Using Incremental Kernel-Based Stochastic Factorization
Andre Barreto, Doina Precup, Joelle Pineau
Clustering Sparse Graphs
Yudong Chen, Sujay Sanghavi, Huan Xu
Multiclass Learning with Simplex Coding
Youssef Mroueh, Tomaso Poggio, Lorenzo Rosasco et al.
Coupling Nonparametric Mixtures via Latent Dirichlet Processes
Dahua Lin, John W. Fisher
Augmented-SVM: Automatic space partitioning for combining multiple non-linear dynamics
Ashwini Shukla, Aude Billard
Dynamical And-Or Graph Learning for Object Shape Modeling and Detection
Xiaolong Wang, Liang Lin
Multiclass Learning Approaches: A Theoretical Comparison with Implications
Amit Daniely, Sivan Sabato, Shai S. Shwartz