Papers
SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition
Yuntao Chen, Chenxia Han, Yanghao Li et al.
Simultaneous Phase Retrieval and Blind Deconvolution via Convex Programming
Ali Ahmed, Alireza Aghasi, Paul Hand
Simultaneous Private Learning of Multiple Concepts
Mark Bun, Kobbi Nissim, Uri Stemmer
SMART: An Open Source Data Labeling Platform for Supervised Learning
Rob Chew, Michael Wenger, Caroline Kery et al.
Smooth neighborhood recommender systems
Ben Dai, Junhui Wang, Xiaotong Shen et al.
Solving the OSCAR and SLOPE Models Using a Semismooth Newton-Based Augmented Lagrangian Method
Ziyan Luo, Defeng Sun, Kim-Chuan Toh et al.
spark-crowd: A Spark Package for Learning from Crowdsourced Big Data
Enrique G. Rodrigo, Juan A. Aledo, José A. Gámez
Sparse Kernel Regression with Coefficient-based $\ell_q-$regularization
Lei Shi, Xiaolin Huang, Yunlong Feng et al.
Spectrum Estimation from a Few Entries
Ashish Khetan, Sewoong Oh
Spurious Valleys in One-hidden-layer Neural Network Optimization Landscapes
Luca Venturi, Afonso S. Bandeira, Joan Bruna
Stochastic Canonical Correlation Analysis
Chao Gao, Dan Garber, Nathan Srebro et al.
Stochastic Modified Equations and Dynamics of Stochastic Gradient Algorithms I: Mathematical Foundations
Qianxiao Li, Cheng Tai, Weinan E
Stochastic Variance-Reduced Cubic Regularization Methods
Dongruo Zhou, Pan Xu, Quanquan Gu
Streaming Principal Component Analysis From Incomplete Data
Armin Eftekhari, Gregory Ongie, Laura Balzano et al.
TensorLy: Tensor Learning in Python
Jean Kossaifi, Yannis Panagakis, Anima Anandkumar et al.
The Common-directions Method for Regularized Empirical Risk Minimization
Po-Wei Wang, Ching-pei Lee, Chih-Jen Lin
The Reduced PC-Algorithm: Improved Causal Structure Learning in Large Random Networks
Arjun Sondhi, Ali Shojaie
The Relationship Between Agnostic Selective Classification, Active Learning and the Disagreement Coefficient
Roei Gelbhart, Ran El-Yaniv
The Sup-norm Perturbation of HOSVD and Low Rank Tensor Denoising
Dong Xia, Fan Zhou
Thompson Sampling Guided Stochastic Searching on the Line for Deceptive Environments with Applications to Root-Finding Problems
Sondre Glimsdal, Ole-Christoffer Granmo
Tight Lower Bounds on the VC-dimension of Geometric Set Systems
Mónika Csikós, Nabil H. Mustafa, Andrey Kupavskii
Time-to-Event Prediction with Neural Networks and Cox Regression
Håvard Kvamme, Ørnulf Borgan, Ida Scheel
Train and Test Tightness of LP Relaxations in Structured Prediction
Ofer Meshi, Ben London, Adrian Weller et al.
Transport Analysis of Infinitely Deep Neural Network
Sho Sonoda, Noboru Murata
Tunability: Importance of Hyperparameters of Machine Learning Algorithms
Philipp Probst, Anne-Laure Boulesteix, Bernd Bischl