Papers
Factorization Machines with Regularization for Sparse Feature Interactions
Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara
Failures of Model-dependent Generalization Bounds for Least-norm Interpolation
Peter L. Bartlett, Philip M. Long
Fast Learning for Renewal Optimization in Online Task Scheduling
Michael J. Neely
FATE: An Industrial Grade Platform for Collaborative Learning With Data Protection
Yang Liu, Tao Fan, Tianjian Chen et al.
Finite-sample Analysis of Interpolating Linear Classifiers in the Overparameterized Regime
Niladri S. Chatterji, Philip M. Long
Finite Time LTI System Identification
Tuhin Sarkar, Alexander Rakhlin, Munther A. Dahleh
First-order Convergence Theory for Weakly-Convex-Weakly-Concave Min-max Problems
Mingrui Liu, Hassan Rafique, Qihang Lin et al.
FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference
Tianyu Wang, Marco Morucci, M. Usaid Awan et al.
Flexible Signal Denoising via Flexible Empirical Bayes Shrinkage
Zhengrong Xing, Peter Carbonetto, Matthew Stephens
From Fourier to Koopman: Spectral Methods for Long-term Time Series Prediction
Henning Lange, Steven L. Brunton, J. Nathan Kutz
From Low Probability to High Confidence in Stochastic Convex Optimization
Damek Davis, Dmitriy Drusvyatskiy, Lin Xiao et al.
Further results on latent discourse models and word embeddings
Sammy Khalife, Douglas Gonçalves, Youssef Allouah et al.
Gaussian Approximation for Bias Reduction in Q-Learning
Carlo D'Eramo, Andrea Cini, Alessandro Nuara et al.
GemBag: Group Estimation of Multiple Bayesian Graphical Models
Xinming Yang, Lingrui Gan, Naveen N. Narisetty et al.
Generalization Performance of Multi-pass Stochastic Gradient Descent with Convex Loss Functions
Yunwen Lei, Ting Hu, Ke Tang
Generalization Properties of hyper-RKHS and its Applications
Fanghui Liu, Lei Shi, Xiaolin Huang et al.
Geometric structure of graph Laplacian embeddings
Nicolás García Trillos, Franca Hoffmann, Bamdad Hosseini
GIBBON: General-purpose Information-Based Bayesian Optimisation
Henry B. Moss, David S. Leslie, Javier Gonzalez et al.
giotto-tda: : A Topological Data Analysis Toolkit for Machine Learning and Data Exploration
Guillaume Tauzin, Umberto Lupo, Lewis Tunstall et al.
Global and Quadratic Convergence of Newton Hard-Thresholding Pursuit
Shenglong Zhou, Naihua Xiu, Hou-Duo Qi
Gradient Methods Never Overfit On Separable Data
Ohad Shamir
Graph Matching with Partially-Correct Seeds
Liren Yu, Jiaming Xu, Xiaojun Lin
Guided Visual Exploration of Relations in Data Sets
Kai Puolamäki, Emilia Oikarinen, Andreas Henelius
Hamilton-Jacobi Deep Q-Learning for Deterministic Continuous-Time Systems with Lipschitz Continuous Controls
Jeongho Kim, Jaeuk Shin, Insoon Yang
Hardness of Identity Testing for Restricted Boltzmann Machines and Potts models
Antonio Blanca, Zongchen Chen, Daniel Štefankovič et al.