Papers
Screening Data Points in Empirical Risk Minimization via Ellipsoidal Regions and Safe Loss Functions
Grégoire Mialon, Julien Mairal, Alexandre d’Aspremont
Semi-Modular Inference: enhanced learning in multi-modular models by tempering the influence of components
Christian Carmona, Geoff Nicholls
Sequential no-Substitution k-Median-Clustering
Tom Hess, Sivan Sabato
Sharp Analysis of Expectation-Maximization for Weakly Identifiable Models
Raaz Dwivedi, Nhat Ho, Koulik Khamaru et al.
Sharp Asymptotics and Optimal Performance for Inference in Binary Models
Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
Sharp Thresholds of the Information Cascade Fragility Under a Mismatched Model
Wasim Huleihel, Ofer Shayevitz
Simulator Calibration under Covariate Shift with Kernels
Keiichi Kisamori, Motonobu Kanagawa, Keisuke Yamazaki
Sketching Transformed Matrices with Applications to Natural Language Processing
Yingyu Liang, Zhao Song, Mengdi Wang et al.
Solving Discounted Stochastic Two-Player Games with Near-Optimal Time and Sample Complexity
Aaron Sidford, Mengdi Wang, Lin Yang et al.
Solving the Robust Matrix Completion Problem via a System of Nonlinear Equations
Yunfeng Cai, Ping Li
Sparse and Low-rank Tensor Estimation via Cubic Sketchings
Botao Hao, Anru R. Zhang, Guang Cheng
Sparse Hilbert-Schmidt Independence Criterion Regression
Benjamin Poignard, Makoto Yamada
Sparse Orthogonal Variational Inference for Gaussian Processes
Jiaxin Shi, Michalis Titsias, Andriy Mnih
Spatio-temporal alignments: Optimal transport through space and time
Hicham Janati, Marco Cuturi, Alexandre Gramfort
Stable behaviour of infinitely wide deep neural networks
Stefano Peluchetti, Stefano Favaro, Sandra Fortini
Statistical and Computational Rates in Graph Logistic Regression
Quentin Berthet, Nicolai Baldin
Statistical Estimation of the Poincaré constant and Application to Sampling Multimodal Distributions
Loucas Pillaud-Vivien, Francis Bach, Tony Lelièvre et al.
Statistical guarantees for local graph clustering
Wooseok Ha, Kimon Fountoulakis, Michael Mahoney
Stein Variational Inference for Discrete Distributions
Jun Han, Fan Ding, Xianglong Liu et al.
Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning
Yao Zhang, Daniel Jarrett, Mihaela Schaar
Stochastic Bandits with Delay-Dependent Payoffs
Leonardo Cella, Nicoló Cesa-Bianchi
Stochastic Linear Contextual Bandits with Diverse Contexts
Weiqiang Wu, Jing Yang, Cong Shen
Stochastic Neural Network with Kronecker Flow
Chin-Wei Huang, Ahmed Touati, Pascal Vincent et al.
Stochastic Particle-Optimization Sampling and the Non-Asymptotic Convergence Theory
Jianyi Zhang, Ruiyi Zhang, Lawrence Carin et al.
Stochastic Recursive Variance-Reduced Cubic Regularization Methods
Dongruo Zhou, Quanquan Gu