Papers
4,025 papers found
Data dependent kernels in nearly-linear time
Guy Lever, Tom Diethe, John Shawe-Taylor
Deep Boltzmann Machines as Feed-Forward Hierarchies
Gregoire Montavon, Mikio Braun, Klaus-Robert Muller
Deep Learning Made Easier by Linear Transformations in Perceptrons
Tapani Raiko, Harri Valpola, Yann Lecun
Detecting Network Cliques with Radon Basis Pursuit
Xiaoye Jiang, Yuan Yao, Han Liu et al.
Deterministic Annealing for Semi-Supervised Structured Output Learning
Paramveer Dhillon, Sathiya Keerthi, Kedar Bellare et al.
Discriminative Mixtures of Sparse Latent Fields for Risk Management
Felix Agakov, Peter Orchard, Amos Storkey
Domain Adaptation: A Small Sample Statistical Approach
Ruslan Salakhutdinov, Sham Kakade, Dean Foster
Efficient and Exact MAP-MRF Inference using Branch and Bound
Min Sun, Murali Telaprolu, Honglak Lee et al.
Efficient Distributed Linear Classification Algorithms via the Alternating Direction Method of Multipliers
Caoxie Zhang, Honglak Lee, Kang Shin
Efficient Gaussian Process Inference for Short-Scale Spatio-Temporal Modeling
Jaakko Luttinen, Alexander Ilin
Efficient Hypergraph Clustering
Marius Leordeanu, Cristian Sminchisescu
Efficient Sampling from Combinatorial Space via Bridging
Dahua Lin, John Fisher
Error bounds for Kernel Fisher Linear Discriminant in Gaussian Hilbert space
Robert Durrant, Ata Kaban
Evaluation of marginal likelihoods via the density of states
Michael Habeck
Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation
Guangcan Liu, Huan Xu, Shuicheng Yan
Exploiting Unrelated Tasks in Multi-Task Learning
Bernardino Romera Paredes, Andreas Argyriou, Nadia Berthouze et al.
Factorized Asymptotic Bayesian Inference for Mixture Modeling
Ryohei Fujimaki, Satoshi Morinaga
Factorized Diffusion Map Approximation
Saeed Amizadeh, Hamed Valizadegan, Milos Hauskrecht
Fast, Exact Model Selection and Permutation Testing for l2-Regularized Logistic Regression
Bryan Conroy, Paul Sajda
Fast interior-point inference in high-dimensional sparse, penalized state-space models
Eftychios Pnevmatikakis, Liam Paninski
Fast Learning Rate of Multiple Kernel Learning: Trade-Off between Sparsity and Smoothness
Taiji Suzuki, Masashi Sugiyama
Fast Variational Bayesian Inference for Non-Conjugate Matrix Factorization Models
Matthias Seeger, Guillaume Bouchard
Fast Variational Mode-Seeking
Bo Thiesson, Jingu Kim
Flexible Martingale Priors for Deep Hierarchies
Jacob Steinhardt, Zoubin Ghahramani