Papers
3,399 papers found
Multisensory Encoding, Decoding, and Identification
Aurel A. Lazar, Yevgeniy Slutskiy
EDML for Learning Parameters in Directed and Undirected Graphical Models
Khaled S Refaat, Arthur Choi, Adnan Darwiche
Analyzing Hogwild Parallel Gaussian Gibbs Sampling
Matthew J Johnson, James Saunderson, Alan Willsky
Summary Statistics for Partitionings and Feature Allocations
Isik B Fidaner, Taylan Cemgil
One-shot learning and big data with n=2
Lee H Dicker, Dean P. Foster
Mapping paradigm ontologies to and from the brain
Yannick Schwartz, Bertrand Thirion, Gael Varoquaux
Optimization, Learning, and Games with Predictable Sequences
Sasha Rakhlin, Karthik Sridharan
Learning to Prune in Metric and Non-Metric Spaces
Leonid Boytsov, Bilegsaikhan Naidan
Optimizing Energy Production Using Policy Search and Predictive State Representations
Yuri Grinberg, Doina Precup, Michel Gendreau
Real-Time Decoding of an Integrate and Fire Encoder
Shreya Saxena, Munther Dahleh
Multi-View Perceptron: a Deep Model for Learning Face Identity and View Representations
Zhenyao Zhu, Ping Luo, Xiaogang Wang et al.
Clamping Variables and Approximate Inference
Adrian Weller, Tony Jebara
Augmentative Message Passing for Traveling Salesman Problem and Graph Partitioning
Siamak Ravanbakhsh, Reihaneh Rabbany, Russell Greiner
Learning to Search in Branch and Bound Algorithms
He He, Hal Daume III, Jason M Eisner
Sparse Polynomial Learning and Graph Sketching
Murat Kocaoglu, Karthikeyan Shanmugam, Alexandros G Dimakis et al.
A* Sampling
Chris J Maddison, Daniel Tarlow, Tom Minka
Clustering from Labels and Time-Varying Graphs
Shiau Hong Lim, Yudong Chen, Huan Xu
Just-In-Time Learning for Fast and Flexible Inference
S. M. Ali Eslami, Daniel Tarlow, Pushmeet Kohli et al.
Positive Curvature and Hamiltonian Monte Carlo
Christof Seiler, Simon Rubinstein-Salzedo, Susan Holmes
Discovering, Learning and Exploiting Relevance
Cem Tekin, Mihaela van der Schaar
Divide-and-Conquer Learning by Anchoring a Conical Hull
Tianyi Zhou, Jeff A. Bilmes, Carlos Guestrin
PAC-Bayesian AUC classification and scoring
James Ridgway, Pierre Alquier, Nicolas Chopin et al.
On Integrated Clustering and Outlier Detection
Lionel Ott, Linsey Pang, Fabio T Ramos et al.
Active Learning and Best-Response Dynamics
Maria-Florina F Balcan, Christopher Berlind, Avrim Blum et al.
Analysis of Learning from Positive and Unlabeled Data
Marthinus C du Plessis, Gang Niu, Masashi Sugiyama