Papers
4,025 papers found
Differentially Private Regression with Gaussian Processes
Michael T. Smith, Mauricio A. Álvarez, Max Zwiessele et al.
Direct Learning to Rank And Rerank
Cynthia Rudin, Yining Wang
Discriminative Learning of Prediction Intervals
Nir Rosenfeld, Yishay Mansour, Elad Yom-Tov
Dropout as a Low-Rank Regularizer for Matrix Factorization
Jacopo Cavazza, Pietro Morerio, Benjamin Haeffele et al.
Efficient and principled score estimation with Nyström kernel exponential families
Danica J. Sutherland, Heiko Strathmann, Michael Arbel et al.
Efficient Bandit Combinatorial Optimization Algorithm with Zero-suppressed Binary Decision Diagrams
Shinsaku Sakaue, Masakazu Ishihata, Shin-ichi Minato
Efficient Bayesian Methods for Counting Processes in Partially Observable Environments
Ferdian Jovan, Jeremy Wyatt, Nick Hawes
Efficient Weight Learning in High-Dimensional Untied MLNs
Khan Mohammad Al Farabi, Somdeb Sarkhel, Deepak Venugopal
Exploiting Strategy-Space Diversity for Batch Bayesian Optimization
Sunil Gupta, Alistair Shilton, Santu Rana et al.
Factor Analysis on a Graph
Masayuki Karasuyama, Hiroshi Mamitsuka
Factorial HMMs with Collapsed Gibbs Sampling for Optimizing Long-term HIV Therapy
Amit Gruber, Chen Yanover, Tal El-Hay et al.
Factorized Recurrent Neural Architectures for Longer Range Dependence
Francois Belletti, Alex Beutel, Sagar Jain et al.
Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure
Beilun Wang, arshdeep Sekhon, Yanjun Qi
Fast Threshold Tests for Detecting Discrimination
Emma Pierson, Sam Corbett-Davies, Sharad Goel
Few-shot Generative Modelling with Generative Matching Networks
Sergey Bartunov, Dmitry Vetrov
Finding Global Optima in Nonconvex Stochastic Semidefinite Optimization with Variance Reduction
Jinshan Zeng, Ke Ma, Yuan Yao
FLAG n’ FLARE: Fast Linearly-Coupled Adaptive Gradient Methods
Xiang Cheng, Fred Roosta, Stefan Palombo et al.
Frank-Wolfe Splitting via Augmented Lagrangian Method
Gauthier Gidel, Fabian Pedregosa, Simon Lacoste-Julien
Gauged Mini-Bucket Elimination for Approximate Inference
Sungsoo Ahn, Michael Chertkov, Jinwoo Shin et al.
Gaussian Process Subset Scanning for Anomalous Pattern Detection in Non-iid Data
William Herlands, Edward McFowland, Andrew Wilson et al.
Generalized Binary Search For Split-Neighborly Problems
Stephen Mussmann, Percy Liang
Generalized Concomitant Multi-Task Lasso for Sparse Multimodal Regression
Mathurin Massias, Olivier Fercoq, Alexandre Gramfort et al.
Gradient Diversity: a Key Ingredient for Scalable Distributed Learning
Dong Yin, Ashwin Pananjady, Max Lam et al.