Papers
Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesian Linear Models
Edward Challis, David Barber
Confidence Weighted Mean Reversion Strategy for On-Line Portfolio Selection
Bin Li, Steven C.H. Hoi, Peilin Zhao et al.
Contextual Bandit Algorithms with Supervised Learning Guarantees
Alina Beygelzimer, John Langford, Lihong Li et al.
Contextual Bandits with Linear Payoff Functions
Wei Chu, Lihong Li, Lev Reyzin et al.
Convergent Decomposition Solvers for Tree-reweighted Free Energies
Jeremy Jancsary, Gerald Matz
Convex envelopes of complexity controlling penalties: the case against premature envelopment
Vladimir Jojic, Suchi Saria, Daphne Koller
Cross-Domain Object Matching with Model Selection
Makoto Yamada, Masashi Sugiyama
Deep Learners Benefit More from Out-of-Distribution Examples
Yoshua Bengio, Frédéric Bastien, Arnaud Bergeron et al.
Deep Learning for Efficient Discriminative Parsing
Ronan Collobert
Deep Sparse Rectifier Neural Networks
Xavier Glorot, Antoine Bordes, Yoshua Bengio
Dependent Hierarchical Beta Process for Image Interpolation and Denoising
Mingyuan Zhou, Hongxia Yang, Guillermo Sapiro et al.
Dimensionality Reduction for Spectral Clustering
Donglin Niu, Jennifer Dy, Michael I. Jordan
Directional Statistics on Permutations
Sergey M. Plis, Stephen McCracken, Terran Lane et al.
Discussion of “A conditional game for comparing approximations”
Vincent Conitzer
Discussion of “Spectral Dimensionality Reduction via Maximum Entropy”
Laurens van der Maaten
Domain Adaptation with Coupled Subspaces
John Blitzer, Sham Kakade, Dean Foster
Dynamic Policy Programming with Function Approximation
Mohammad Gheshlaghi Azar, Vicenç Gómez, Bert Kappen
Efficient variable selection in support vector machines via the alternating direction method of multipliers
Gui–Bo Ye, Yifei Chen, Xiaohui Xie
Empirical Risk Minimization of Graphical Model Parameters Given Approximate Inference, Decoding, and Model Structure
Veselin Stoyanov, Alexander Ropson, Jason Eisner
Error Analysis of Laplacian Eigenmaps for Semi-supervised Learning
Xueyuan Zhou, Nathan Srebro