Papers
Kernel Approximation Methods for Speech Recognition
Avner May, Alireza Bagheri Garakani, Zhiyun Lu et al.
Kernels for Sequentially Ordered Data
Franz J. Kiraly, Harald Oberhauser
Layer-Wise Learning Strategy for Nonparametric Tensor Product Smoothing Spline Regression and Graphical Models
Kean Ming Tan, Junwei Lu, Tong Zhang et al.
Lazifying Conditional Gradient Algorithms
Gábor Braun, Sebastian Pokutta, Daniel Zink
Learnability of Solutions to Conjunctive Queries
Hubie Chen, Matthew Valeriote
Learning by Unsupervised Nonlinear Diffusion
Mauro Maggioni, James M. Murphy
Learning Optimized Risk Scores
Berk Ustun, Cynthia Rudin
Learning Overcomplete, Low Coherence Dictionaries with Linear Inference
Jesse A. Livezey, Alejandro F. Bujan, Friedrich T. Sommer
Learning Representations of Persistence Barcodes
Christoph D. Hofer, Roland Kwitt, Marc Niethammer
Learning to Match via Inverse Optimal Transport
Ruilin Li, Xiaojing Ye, Haomin Zhou et al.
Learning Unfaithful $K$-separable Gaussian Graphical Models
De Wen Soh, Sekhar Tatikonda
Local Regularization of Noisy Point Clouds: Improved Global Geometric Estimates and Data Analysis
Nicolás García Trillos, Daniel Sanz-Alonso, Ruiyi Yang
Log-concave sampling: Metropolis-Hastings algorithms are fast
Raaz Dwivedi, Yuansi Chen, Martin J. Wainwright et al.
Logical Explanations for Deep Relational Machines Using Relevance Information
Ashwin Srinivasan, Lovekesh Vig, Michael Bain
Low Permutation-rank Matrices: Structural Properties and Noisy Completion
Nihar B. Shah, Sivaraman Balakrishnan, Martin J. Wainwright
Matched Bipartite Block Model with Covariates
Zahra S. Razaee, Arash A. Amini, Jingyi Jessica Li
Maximum Likelihood for Gaussian Process Classification and Generalized Linear Mixed Models under Case-Control Sampling
Omer Weissbrod, Shachar Kaufman, David Golan et al.
Measuring the Effects of Data Parallelism on Neural Network Training
Christopher J. Shallue, Jaehoon Lee, Joseph Antognini et al.
Minimal Sample Subspace Learning: Theory and Algorithms
Zhenyue Zhang, Yuqing Xia
Model Selection in Bayesian Neural Networks via Horseshoe Priors
Soumya Ghosh, Jiayu Yao, Finale Doshi-Velez
Model Selection via the VC Dimension
Merlin Mpoudeu, Bertrand Clarke
Monotone Learning with Rectified Wire Networks
Veit Elser, Dan Schmidt, Jonathan Yedidia