Papers
4,025 papers found
Smooth and Sparse Optimal Transport
Mathieu Blondel, Vivien Seguy, Antoine Rolet
Solving lp-norm regularization with tensor kernels
Saverio Salzo, Lorenzo Rosasco, Johan Suykens
Sparse Linear Isotonic Models
Sheng Chen, Arindam Banerjee
Spectral Algorithms for Computing Fair Support Vector Machines
Mahbod Olfat, Anil Aswani
Statistically Efficient Estimation for Non-Smooth Probability Densities
Masaaki Imaizumi, Takanori Maehara, Yuichi Yoshida
Statistical Sparse Online Regression: A Diffusion Approximation Perspective
Jianqing Fan, Wenyan Gong, Chris Junchi Li et al.
Stochastic algorithms for entropy-regularized optimal transport problems
Brahim Khalil Abid, Robert Gower
Stochastic Multi-armed Bandits in Constant Space
David Liau, Zhao Song, Eric Price et al.
Stochastic Three-Composite Convex Minimization with a Linear Operator
Renbo Zhao, Volkan Cevher
Stochastic Zeroth-order Optimization in High Dimensions
Yining Wang, Simon Du, Sivaraman Balakrishnan et al.
Structured Factored Inference for Probabilistic Programming
Avi Pfeffer, Brian Ruttenberg, William Kretschmer et al.
Structured Optimal Transport
David Alvarez-Melis, Tommi Jaakkola, Stefanie Jegelka
Submodularity on Hypergraphs: From Sets to Sequences
Marko Mitrovic, Moran Feldman, Andreas Krause et al.
Subsampling for Ridge Regression via Regularized Volume Sampling
Michal Derezinski, Manfred Warmuth
Sum-Product-Quotient Networks
Or Sharir, Amnon Shashua
Symmetric Variational Autoencoder and Connections to Adversarial Learning
Liqun Chen, Shuyang Dai, Yunchen Pu et al.
Teacher Improves Learning by Selecting a Training Subset
Yuzhe Ma, Robert Nowak, Philippe Rigollet et al.
Tensor Regression Meets Gaussian Processes
Rose Yu, Guangyu Li, Yan Liu
The Binary Space Partitioning-Tree Process
Xuhui Fan, Bin Li, Scott Sisson
The emergence of spectral universality in deep networks
Jeffrey Pennington, Samuel Schoenholz, Surya Ganguli
The Geometry of Random Features
Krzysztof Choromanski, Mark Rowland, Tamas Sarlos et al.
The Power Mean Laplacian for Multilayer Graph Clustering
Pedro Mercado, Antoine Gautier, Francesco Tudisco et al.
Topic Compositional Neural Language Model
Wenlin Wang, Zhe Gan, Wenqi Wang et al.
Towards Memory-Friendly Deterministic Incremental Gradient Method
Jiahao Xie, Hui Qian, Zebang Shen et al.