Papers
Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning
Daniel C. Castro, Jeremy Tan, Bernhard Kainz et al.
Multiclass Boosting: Margins, Codewords, Losses, and Algorithms
Mohammad Saberian, Nuno Vasconcelos
Multi-class Heterogeneous Domain Adaptation
Joey Tianyi Zhou, Ivor W. Tsang, Sinno Jialin Pan et al.
Multiplicative local linear hazard estimation and best one-sided cross-validation
Maria Luz Gámiz, María Dolores Martínez-Miranda, Jens Perch Nielsen
Multi-scale Online Learning: Theory and Applications to Online Auctions and Pricing
Sébastien Bubeck, Nikhil R. Devanur, Zhiyi Huang et al.
Nearly-tight VC-dimension and Pseudodimension Bounds for Piecewise Linear Neural Networks
Peter L. Bartlett, Nick Harvey, Christopher Liaw et al.
NetSDM: Semantic Data Mining with Network Analysis
Jan Kralj, Marko Robnik-Sikonja, Nada Lavrac
Neural Architecture Search: A Survey
Thomas Elsken, Jan Hendrik Metzen, Frank Hutter
Neural Empirical Bayes
Saeed Saremi, Aapo Hyvärinen
New Convergence Aspects of Stochastic Gradient Algorithms
Lam M. Nguyen, Phuong Ha Nguyen, Peter Richtárik et al.
Non-Convex Matrix Completion and Related Problems via Strong Duality
Maria-Florina Balcan, Yingyu Liang, Zhao Song et al.
Non-Convex Projected Gradient Descent for Generalized Low-Rank Tensor Regression
Han Chen, Garvesh Raskutti, Ming Yuan
Nonparametric Bayesian Aggregation for Massive Data
Zuofeng Shang, Botao Hao, Guang Cheng
Nonparametric Estimation of Probability Density Functions of Random Persistence Diagrams
Vasileios Maroulas, Joshua L Mike, Christopher Oballe
Nonuniformity of P-values Can Occur Early in Diverging Dimensions
Yingying Fan, Emre Demirkaya, Jinchi Lv
No-Regret Bayesian Optimization with Unknown Hyperparameters
Felix Berkenkamp, Angela P. Schoellig, Andreas Krause
On Consistent Vertex Nomination Schemes
Vince Lyzinski, Keith Levin, Carey E. Priebe
On the Convergence of Gaussian Belief Propagation with Nodes of Arbitrary Size
Francois Kamper, Sarel J. Steel, Johan A. du Preez
On the optimality of the Hedge algorithm in the stochastic regime
Jaouad Mourtada, Stéphane Gaïffas
Optimal Convergence Rates for Convex Distributed Optimization in Networks
Kevin Scaman, Francis Bach, Sébastien Bubeck et al.
Optimal Policies for Observing Time Series and Related Restless Bandit Problems
Christopher R. Dance, Tomi Silander
Optimal Transport: Fast Probabilistic Approximation with Exact Solvers
Max Sommerfeld, Jörn Schrieber, Yoav Zemel et al.
Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals
Andrew Cotter, Heinrich Jiang, Maya Gupta et al.