Papers
4,025 papers found
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
Estimating beta-mixing coefficients
Daniel McDonald, Cosma Shalizi, Mark Schervish
Estimating Probabilities in Recommendation Systems
Mingxuan Sun, Guy Lebanon, Paul Kidwell
Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks
Qirong Ho, Le Song, Eric Xing
Faithfulness in Chain Graphs: The Gaussian Case
Jose M. Peña
Fast $b$-matching via Sufficient Selection Belief Propagation
Bert Huang, Tony Jebara
Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference
Matthias Seeger, Hannes Nickisch
Generalization Bound for Infinitely Divisible Empirical Process
Chao Zhang, Dacheng Tao
Generative Kernels for Exponential Families
Arvind Agarwal, Hal Daumé III