Papers
Nearly Optimal Classification for Semimetrics
Lee-Ad Gottlieb, Aryeh Kontorovich, Pinhas Nisnevitch
New Resistance Distances with Global Information on Large Graphs
Canh Hao Nguyen, Hiroshi Mamitsuka
Non-Gaussian Component Analysis with Log-Density Gradient Estimation
Hiroaki Sasaki, Gang Niu, Masashi Sugiyama
Non-negative Matrix Factorization for Discrete Data with Hierarchical Side-Information
Changwei Hu, Piyush Rai, Lawrence Carin
Nonparametric Budgeted Stochastic Gradient Descent
Trung Le, Vu Nguyen, Tu Dinh Nguyen et al.
Non-Stationary Gaussian Process Regression with Hamiltonian Monte Carlo
Markus Heinonen, Henrik Mannerström, Juho Rousu et al.
Non-stochastic Best Arm Identification and Hyperparameter Optimization
Kevin Jamieson, Ameet Talwalkar
No Regret Bound for Extreme Bandits
Robert Nishihara, David Lopez-Paz, Leon Bottou
NuC-MKL: A Convex Approach to Non Linear Multiple Kernel Learning
Eli Meirom, Pavel Kisilev
NYTRO: When Subsampling Meets Early Stopping
Raffaello Camoriano, Tomás Angles, Alessandro Rudi et al.
On Convergence of Model Parallel Proximal Gradient Algorithm for Stale Synchronous Parallel System
Yi Zhou, Yaoliang Yu, Wei Dai et al.
Online and Distributed Bayesian Moment Matching for Parameter Learning in Sum-Product Networks
Abdullah Rashwan, Han Zhao, Pascal Poupart
Online (and Offline) Robust PCA: Novel Algorithms and Performance Guarantees
Jinchun Zhan, Brian Lois, Han Guo et al.
Online Learning to Rank with Feedback at the Top
Sougata Chaudhuri, Ambuj Tewari Tewari
Online Learning with Noisy Side Observations
Tomáš Kocák, Gergely Neu, Michal Valko
Online Relative Entropy Policy Search using Reproducing Kernel Hilbert Space Embeddings
Zhitang Chen, Pascal Poupart, Yanhui Geng
On Lloyd’s Algorithm: New Theoretical Insights for Clustering in Practice
Cheng Tang, Claire Monteleoni
On Searching for Generalized Instrumental Variables
Benito Zander, Maciej Liśkiewicz
On Sparse Variational Methods and the Kullback-Leibler Divergence between Stochastic Processes
Alexander G. de G. Matthews, James Hensman, Richard Turner et al.
On the Reducibility of Submodular Functions
Jincheng Mei, Hao Zhang, Bao-Liang Lu
On the Use of Non-Stationary Strategies for Solving Two-Player Zero-Sum Markov Games
Julien Pérolat, Bilal Piot, Bruno Scherrer et al.
Optimal Statistical and Computational Rates for One Bit Matrix Completion
Renkun Ni, Quanquan Gu
Optimization as Estimation with Gaussian Processes in Bandit Settings
Zi Wang, Bolei Zhou, Stefanie Jegelka
Ordered Weighted L1 Regularized Regression with Strongly Correlated Covariates: Theoretical Aspects
Mario Figueiredo, Robert Nowak