Papers
173,579 papers found
Collaborative Gaussian Processes for Preference Learning
Neil Houlsby, Ferenc Huszar, Zoubin Ghahramani et al.
Collaborative Ranking With 17 Parameters
Maksims Volkovs, Richard S. Zemel
Colour-Consistent Structure-from-Motion Models using Underwater Imagery
Mitch Bryson, Matthew Johnson-Roberson, Oscar Pizarro et al.
Communication/Computation Tradeoffs in Consensus-Based Distributed Optimization
Konstantinos Tsianos, Sean Lawlor, Michael G. Rabbat
Communication-Efficient Algorithms for Statistical Optimization
Yuchen Zhang, Martin J. Wainwright, John C. Duchi
CompAct Arm™: a Compliant Manipulator with Intrinsic Variable Physical Damping
Matteo Laffranchi, Nikos Tsagarakis, Darwin Caldwell
Competitive Classification and Closeness Testing
Jayadev Acharya, Hirakendu Das, Ashkan Jafarpour et al.
Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models
Jeff Beck, Alexandre Pouget, Katherine A. Heller
Complexity of Bethe Approximation
Jinwoo Shin
Compressive Sensing MRI with Wavelet Tree Sparsity
Chen Chen, Junzhou Huang
Computational Bounds on Statistical Query Learning
Vitaly Feldman, Varun Kanade
Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection
Gavin Brown, Adam Pocock, Ming-Jie Zhao et al.
Conditional Validity of Inductive Conformal Predictors
Vladimir Vovk
Confidence-Weighted Linear Classification for Text Categorization
Koby Crammer, Mark Dredze, Fernando Pereira
Consistency and Rates for Clustering with DBSCAN
Bharath Sriperumbudur, Ingo Steinwart
Consistent Model Selection Criteria on High Dimensions
Yongdai Kim, Sunghoon Kwon, Hosik Choi
Constrained 1-Spectral Clustering
Syama Sundar Rangapuram, Matthias Hein
Context-Sensitive Decision Forests for Object Detection
Peter Kontschieder, Samuel R. Bulò, Antonio Criminisi et al.
Contextual Bandit Learning with Predictable Rewards
Alekh Agarwal, Miroslav Dudik, Satyen Kale et al.
Contextual Sequence Prediction with Application to Control Library Optimization
Debadeepta Dey, Tian Yu Liu, Martial Hebert et al.
Continuous Relaxations for Discrete Hamiltonian Monte Carlo
Yichuan Zhang, Zoubin Ghahramani, Amos J. Storkey et al.
Controlled Recognition Bounds for Visual Learning and Exploration
Vasiliy Karasev, Alessandro Chiuso, Stefano Soatto