Papers
Character-level Convolutional Networks for Text Classification
Xiang Zhang, Junbo Zhao, Yann LeCun
Closed-form Estimators for High-dimensional Generalized Linear Models
Eunho Yang, Aurelie C. Lozano, Pradeep K Ravikumar
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution
Mehrdad Farajtabar, Yichen Wang, Manuel Gomez Rodriguez et al.
Collaborative Filtering with Graph Information: Consistency and Scalable Methods
Nikhil Rao, Hsiang-Fu Yu, Pradeep K Ravikumar et al.
Collaboratively Learning Preferences from Ordinal Data
Sewoong Oh, Kiran K Thekumparampil, Jiaming Xu
Color Constancy by Learning to Predict Chromaticity from Luminance
Ayan Chakrabarti
Column Selection via Adaptive Sampling
Saurabh Paul, Malik Magdon-Ismail, Petros Drineas
Combinatorial Bandits Revisited
Richard Combes, Mohammad Sadegh Talebi Mazraeh Shahi, Alexandre Proutiere et al.
Combinatorial Cascading Bandits
Branislav Kveton, Zheng Wen, Azin Ashkan et al.
Communication Complexity of Distributed Convex Learning and Optimization
Yossi Arjevani, Ohad Shamir
Community Detection via Measure Space Embedding
Mark Kozdoba, Shie Mannor
Competitive Distribution Estimation: Why is Good-Turing Good
Alon Orlitsky, Ananda Theertha Suresh
Compressive spectral embedding: sidestepping the SVD
Dinesh Ramasamy, Upamanyu Madhow
Consistent Multilabel Classification
Oluwasanmi O Koyejo, Nagarajan Natarajan, Pradeep K Ravikumar et al.
Convergence Analysis of Prediction Markets via Randomized Subspace Descent
Rafael Frongillo, Mark D. Reid
Convergence Rates of Active Learning for Maximum Likelihood Estimation
Kamalika Chaudhuri, Sham M. Kakade, Praneeth Netrapalli et al.
Convergence rates of sub-sampled Newton methods
Murat A Erdogdu, Andrea Montanari
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian SHI, Zhourong Chen, Hao Wang et al.
Convolutional Networks on Graphs for Learning Molecular Fingerprints
David K. Duvenaud, Dougal Maclaurin, Jorge Iparraguirre et al.
Convolutional Neural Networks with Intra-Layer Recurrent Connections for Scene Labeling
Ming Liang, Xiaolin Hu, Bo Zhang
Convolutional spike-triggered covariance analysis for neural subunit models
Anqi Wu, ll Memming Park, Jonathan W Pillow
Copeland Dueling Bandits
Masrour Zoghi, Zohar S Karnin, Shimon Whiteson et al.
Copula variational inference
Dustin Tran, David Blei, Edoardo M. Airoldi
Cornering Stationary and Restless Mixing Bandits with Remix-UCB
Julien Audiffren, Liva Ralaivola
Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling
Xiaocheng Shang, Zhanxing Zhu, Benedict Leimkuhler et al.