Papers
Learning Time-Varying Coverage Functions
Nan Du, Yingyu Liang, Maria-Florina F Balcan et al.
Learning to Discover Efficient Mathematical Identities
Wojciech Zaremba, Karol Kurach, Rob Fergus
Learning to Optimize via Information-Directed Sampling
Daniel Russo, Benjamin Van Roy
Learning to Search in Branch and Bound Algorithms
He He, Hal Daume III, Jason M Eisner
Learning with Fredholm Kernels
Qichao Que, Mikhail Belkin, Yusu Wang
Learning with Pseudo-Ensembles
Philip Bachman, Ouais Alsharif, Doina Precup
Local Decorrelation For Improved Pedestrian Detection
Woonhyun Nam, Piotr Dollar, Joon Hee Han
Localized Data Fusion for Kernel k-Means Clustering with Application to Cancer Biology
Mehmet Gönen, Adam A Margolin
Local Linear Convergence of Forward--Backward under Partial Smoothness
Jingwei Liang, Jalal Fadili, Gabriel Peyré
Log-Hilbert-Schmidt metric between positive definite operators on Hilbert spaces
Minh Ha Quang, Marco San Biagio, Vittorio Murino
Low-dimensional models of neural population activity in sensory cortical circuits
Evan W Archer, Urs Koster, Jonathan W Pillow et al.
Low Rank Approximation Lower Bounds in Row-Update Streams
David Woodruff
Low-Rank Time-Frequency Synthesis
Cédric Févotte, Matthieu Kowalski
LSDA: Large Scale Detection through Adaptation
Judy Hoffman, Sergio Guadarrama, Eric S Tzeng et al.
Magnitude-sensitive preference formation`
Nisheeth Srivastava, Ed Vul, Paul R. Schrater
Making Pairwise Binary Graphical Models Attractive
Nicholas Ruozzi, Tony Jebara
Median Selection Subset Aggregation for Parallel Inference
Xiangyu Wang, Peichao Peng, David B Dunson
Message Passing Inference for Large Scale Graphical Models with High Order Potentials
Jian Zhang, Alex Schwing, Raquel Urtasun
Metric Learning for Temporal Sequence Alignment
Damien Garreau, Rémi Lajugie, Sylvain Arlot et al.
Mind the Nuisance: Gaussian Process Classification using Privileged Noise
Daniel Hernández-lobato, Viktoriia Sharmanska, Kristian Kersting et al.
Minimax-optimal Inference from Partial Rankings
Bruce Hajek, Sewoong Oh, Jiaming Xu
Mode Estimation for High Dimensional Discrete Tree Graphical Models
Chao Chen, Han Liu, Dimitris Metaxas et al.
Model-based Reinforcement Learning and the Eluder Dimension
Ian Osband, Benjamin Van Roy
Modeling Deep Temporal Dependencies with Recurrent Grammar Cells""
Vincent Michalski, Roland Memisevic, Kishore Konda
Mondrian Forests: Efficient Online Random Forests
Balaji Lakshminarayanan, Daniel M. Roy, Yee Whye Teh