Papers
Convergence Rates for the Stochastic Gradient Descent Method for Non-Convex Objective Functions
Benjamin Fehrman, Benjamin Gess, Arnulf Jentzen
Convergences of Regularized Algorithms and Stochastic Gradient Methods with Random Projections
Junhong Lin, Volkan Cevher
Convex and Non-Convex Approaches for Statistical Inference with Class-Conditional Noisy Labels
Hyebin Song, Ran Dai, Garvesh Raskutti et al.
Convex Programming for Estimation in Nonlinear Recurrent Models
Sohail Bahmani, Justin Romberg
Cornac: A Comparative Framework for Multimodal Recommender Systems
Aghiles Salah, Quoc-Tuan Truong, Hady W. Lauw
Cramer-Wold Auto-Encoder
Szymon Knop, Przemysław Spurek, Jacek Tabor et al.
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey
Sanmit Narvekar, Bei Peng, Matteo Leonetti et al.
Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems
Dhruv Malik, Ashwin Pananjady, Kush Bhatia et al.
DESlib: A Dynamic ensemble selection library in Python
Rafael M. O. Cruz, Luiz G. Hafemann, Robert Sabourin et al.
Diffeomorphic Learning
Laurent Younes
Discerning the Linear Convergence of ADMM for Structured Convex Optimization through the Lens of Variational Analysis
Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
Distributed Feature Screening via Componentwise Debiasing
Xingxiang Li, Runze Li, Zhiming Xia et al.
Distributed High-dimensional Regression Under a Quantile Loss Function
Xi Chen, Weidong Liu, Xiaojun Mao et al.
Distributed Kernel Ridge Regression with Communications
Shao-Bo Lin, Di Wang, Ding-Xuan Zhou
Distributed Minimum Error Entropy Algorithms
Xin Guo, Ting Hu, Qiang Wu
Distributionally Ambiguous Optimization for Batch Bayesian Optimization
Nikitas Rontsis, Michael A. Osborne, Paul J. Goulart
Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes
Nathan Kallus, Masatoshi Uehara
Doubly Distributed Supervised Learning and Inference with High-Dimensional Correlated Outcomes
Emily C. Hector, Peter X.-K. Song
Dual Extrapolation for Sparse GLMs
Mathurin Massias, Samuel Vaiter, Alexandre Gramfort et al.
Dual Iterative Hard Thresholding
Xiao-Tong Yuan, Bo Liu, Lezi Wang et al.
Dynamical Systems as Temporal Feature Spaces
Peter Tino
Dynamic Assortment Optimization with Changing Contextual Information
Xi Chen, Yining Wang, Yuan Zhou
Effective Ways to Build and Evaluate Individual Survival Distributions
Humza Haider, Bret Hoehn, Sarah Davis et al.