Papers
8,340 papers found
Multi-Class Classification with Maximum Margin Multiple Kernel
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
Multilinear Multitask Learning
Bernardino Romera-Paredes, Hane Aung, Nadia Bianchi-Berthouze et al.
Multiple Identifications in Multi-Armed Bandits
Séebastian Bubeck, Tengyao Wang, Nitin Viswanathan
Multiple-source cross-validation
Krzysztof Geras, Charles Sutton
Multi-Task Learning with Gaussian Matrix Generalized Inverse Gaussian Model
Ming Yang, Yingming Li, Zhongfei Zhang
Multi-View Clustering and Feature Learning via Structured Sparsity
Hua Wang, Feiping Nie, Heng Huang
Natural Image Bases to Represent Neuroimaging Data
Ashish Gupta, Murat Ayhan, Anthony Maida
Near-optimal Batch Mode Active Learning and Adaptive Submodular Optimization
Yuxin Chen, Andreas Krause
Near-Optimal Bounds for Cross-Validation via Loss Stability
Ravi Kumar, Daniel Lokshtanov, Sergei Vassilvitskii et al.
Nested Chinese Restaurant Franchise Process: Applications to User Tracking and Document Modeling
Amr Ahmed, Liangjie Hong, Alexander Smola
Noisy and Missing Data Regression: Distribution-Oblivious Support Recovery
Yudong Chen, Constantine Caramanis
Noisy Sparse Subspace Clustering
Yu-Xiang Wang, Huan Xu
No more pesky learning rates
Tom Schaul, Sixin Zhang, Yann LeCun
Non-Linear Stationary Subspace Analysis with Application to Video Classification
Mahsa Baktashmotlagh, Mehrtash Harandi, Abbas Bigdeli et al.
Nonparametric Mixture of Gaussian Processes with Constraints
James Ross, Jennifer Dy
O(logT) Projections for Stochastic Optimization of Smooth and Strongly Convex Functions
Lijun Zhang, Tianbao Yang, Rong Jin et al.
On A Nonlinear Generalization of Sparse Coding and Dictionary Learning
Jeffrey Ho, Yuchen Xie, Baba Vemuri
On autoencoder scoring
Hanna Kamyshanska, Roland Memisevic
On Compact Codes for Spatially Pooled Features
Yangqing Jia, Oriol Vinyals, Trevor Darrell
One-Bit Compressed Sensing: Provable Support and Vector Recovery
Sivakant Gopi, Praneeth Netrapalli, Prateek Jain et al.
One-Pass AUC Optimization
Wei Gao, Rong Jin, Shenghuo Zhu et al.
On learning parametric-output HMMs
Aryeh Kontorovich, Boaz Nadler, Roi Weiss
Online Feature Selection for Model-based Reinforcement Learning
Trung Nguyen, Zhuoru Li, Tomi Silander et al.
Online Kernel Learning with a Near Optimal Sparsity Bound
Lijun Zhang, Jinfeng Yi, Rong Jin et al.
Online Latent Dirichlet Allocation with Infinite Vocabulary
Ke Zhai, Jordan Boyd-Graber