Papers
173,579 papers found
Differentially Private M-Estimators
Jing Lei
Dimensionality Reduction for Spectral Clustering
Donglin Niu, Jennifer Dy, Michael I. Jordan
Dimensionality Reduction Using the Sparse Linear Model
Ioannis A. Gkioulekas, Todd Zickler
Directed Graph Embedding: an Algorithm based on Continuous Limits of Laplacian-type Operators
Dominique C. Perrault-joncas, Marina Meila
Directional Statistics on Permutations
Sergey M. Plis, Stephen McCracken, Terran Lane et al.
DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model
Shohei Shimizu, Takanori Inazumi, Yasuhiro Sogawa et al.
Dirichlet Process Mixtures of Generalized Linear Models
Lauren A. Hannah, David M. Blei, Warren B. Powell
Discriminative Learning of Bayesian Networks via Factorized Conditional Log-Likelihood
Alexandra M. Carvalho, Teemu Roos, Arlindo L. Oliveira et al.
Discussion of “A conditional game for comparing approximations”
Vincent Conitzer
Discussion of “Spectral Dimensionality Reduction via Maximum Entropy”
Laurens van der Maaten
Distance Dependent Chinese Restaurant Processes
David M. Blei, Peter I. Frazier
Distributed Delayed Stochastic Optimization
Alekh Agarwal, John C. Duchi
Distributed Robot Ensemble Control for Deployment to Multiple Sites
T. William Mather, M. Ani Hsieh
Divide-and-Conquer Matrix Factorization
Lester W. Mackey, Michael I. Jordan, Ameet Talwalkar
Does an Efficient Calibrated Forecasting Strategy Exist?
Jacob Abernethy, Shie Mannor
Domain Adaptation with Coupled Subspaces
John Blitzer, Sham Kakade, Dean Foster
Domain Decomposition Approach for Fast Gaussian Process Regression of Large Spatial Data Sets
Chiwoo Park, Jianhua Z. Huang, Yu Ding
Double Updating Online Learning
Peilin Zhao, Steven C.H. Hoi, Rong Jin
Dynamical segmentation of single trials from population neural data
Biljana Petreska, Byron M. Yu, John P. Cunningham et al.