Papers
8,340 papers found
Circulant Binary Embedding
Felix Yu, Sanjiv Kumar, Yunchao Gong et al.
Clustering in the Presence of Background Noise
Shai Ben-David, Nika Haghtalab
Coding for Random Projections
Ping Li, Michael Mitzenmacher, Anshumali Shrivastava
Coherent Matrix Completion
Yudong Chen, Srinadh Bhojanapalli, Sujay Sanghavi et al.
Cold-start Active Learning with Robust Ordinal Matrix Factorization
Neil Houlsby, Jose Miguel Hernandez-Lobato, Zoubin Ghahramani
Combinatorial Partial Monitoring Game with Linear Feedback and Its Applications
Tian Lin, Bruno Abrahao, Robert Kleinberg et al.
Communication-Efficient Distributed Optimization using an Approximate Newton-type Method
Ohad Shamir, Nati Srebro, Tong Zhang
Compact Random Feature Maps
Raffay Hamid, Ying Xiao, Alex Gittens et al.
Composite Quantization for Approximate Nearest Neighbor Search
Ting Zhang, Chao Du, Jingdong Wang
Compositional Morphology for Word Representations and Language Modelling
Jan Botha, Phil Blunsom
Computing Parametric Ranking Models via Rank-Breaking
Hossein Azari Soufiani, David Parkes, Lirong Xia
Concentration in unbounded metric spaces and algorithmic stability
Aryeh Kontorovich
Concept Drift Detection Through Resampling
Maayan Harel, Shie Mannor, Ran El-Yaniv et al.
Condensed Filter Tree for Cost-Sensitive Multi-Label Classification
Chun-Liang Li, Hsuan-Tien Lin
Consistency of Causal Inference under the Additive Noise Model
Samory Kpotufe, Eleni Sgouritsa, Dominik Janzing et al.
Convergence rates for persistence diagram estimation in Topological Data Analysis
Frédéric Chazal, Marc Glisse, Catherine Labruère et al.
Convex Total Least Squares
Dmitry Malioutov, Nikolai Slavov
Coordinate-descent for learning orthogonal matrices through Givens rotations
Uri Shalit, Gal Chechik
Coupled Group Lasso for Web-Scale CTR Prediction in Display Advertising
Ling Yan, Wu-Jun Li, Gui-Rong Xue et al.
Covering Number for Efficient Heuristic-based POMDP Planning
Zongzhang Zhang, David Hsu, Wee Sun Lee
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
Jeff Donahue, Yangqing Jia, Oriol Vinyals et al.
Deep AutoRegressive Networks
Karol Gregor, Ivo Danihelka, Andriy Mnih et al.
Deep Boosting
Corinna Cortes, Mehryar Mohri, Umar Syed
Deep Generative Stochastic Networks Trainable by Backprop
Yoshua Bengio, Eric Laufer, Guillaume Alain et al.
Deep Supervised and Convolutional Generative Stochastic Network for Protein Secondary Structure Prediction
Jian Zhou, Olga Troyanskaya