Papers
4,122 papers found
Multiplicative Multitask Feature Learning
Xin Wang, Jinbo Bi, Shipeng Yu et al.
Multiscale Adaptive Representation of Signals: I. The Basic Framework
Cheng Tai, Weinan E
Multi-scale Classification using Localized Spatial Depth
Subhajit Dutta, Soham Sarkar, Anil K. Ghosh
Multiscale Dictionary Learning: Non-Asymptotic Bounds and Robustness
Mauro Maggioni, Stanislav Minsker, Nate Strawn
Multi-Task Learning for Straggler Avoiding Predictive Job Scheduling
Neeraja J. Yadwadkar, Bharath Hariharan, Joseph E. Gonzalez et al.
Multi-task Sparse Structure Learning with Gaussian Copula Models
André R. Gonçalves, Fernando J. Von Zuben, Arindam Banerjee
Multivariate Spearman's $\rho$ for Aggregating Ranks Using Copulas
Justin Bedő, Cheng Soon Ong
Mutual Information Based Matching for Causal Inference with Observational Data
Lei Sun, Alexander G. Nikolaev
Neural Autoregressive Distribution Estimation
Benigno Uria, Marc-Alexandre Côté, Karol Gregor et al.
New Perspectives on k-Support and Cluster Norms
Andrew M. McDonald, Massimiliano Pontil, Dimitris Stamos
Neyman-Pearson Classification under High-Dimensional Settings
Anqi Zhao, Yang Feng, Lie Wang et al.
Noisy Sparse Subspace Clustering
Yu-Xiang Wang, Huan Xu
Non-linear Causal Inference using Gaussianity Measures
Daniel Hernández-Lobato, Pablo Morales-Mombiela, David Lopez-Paz et al.
Nonparametric Network Models for Link Prediction
Sinead A. Williamson
OLPS: A Toolbox for On-Line Portfolio Selection
Bin Li, Doyen Sahoo, Steven C.H. Hoi
On Bayes Risk Lower Bounds
Xi Chen, Adityanand Guntuboyina, Yuchen Zhang
One-class classification of point patterns of extremes
Stijn Luca, David A. Clifton, Bart Vanrumste
Online PCA with Optimal Regret
Jiazhong Nie, Wojciech Kotlowski, Manfred K. Warmuth
Online Trans-dimensional von Mises-Fisher Mixture Models for User Profiles
Xiangju Qin, Pádraig Cunningham, Michael Salter-Townshend
On Lower and Upper Bounds in Smooth and Strongly Convex Optimization
Yossi Arjevani, Shai Shalev-Shwartz, Ohad Shamir
On Quantile Regression in Reproducing Kernel Hilbert Spaces with the Data Sparsity Constraint
Chong Zhang, Yufeng Liu, Yichao Wu
On the Characterization of a Class of Fisher-Consistent Loss Functions and its Application to Boosting
Matey Neykov, Jun S. Liu, Tianxi Cai
On the Complexity of Best-Arm Identification in Multi-Armed Bandit Models
Emilie Kaufmann, Olivier Cappé, Aurélien Garivier
On the Consistency of the Likelihood Maximization Vertex Nomination Scheme: Bridging the Gap Between Maximum Likelihood Estimation and Graph Matching
Vince Lyzinski, Keith Levin, Donniell E. Fishkind et al.