Papers
173,579 papers found
CARP: Software for Fishing Out Good Clustering Algorithms
Volodymyr Melnykov, Ranjan Maitra
Clustered Multi-Task Learning Via Alternating Structure Optimization
Jiayu Zhou, Jianhui Chen, Jieping Ye
Clustering Algorithms for Chains
Antti Ukkonen
Clustering via Dirichlet Process Mixture Models for Portable Skill Discovery
Scott Niekum, Andrew G. Barto
Collaborative Filtering with the Trace Norm: Learning, Bounding, and Transducing
Ohad Shamir, Shai Shalev-Shwartz
Collective Graphical Models
Daniel R. Sheldon, Thomas G. Dietterich
Collision-Free and Curvature-Continuous Path Smoothing In Cluttered Environments
Jia Pan, Liangjun Zhang, Dinesh Manocha
Committing Bandits
Loc X. Bui, Ramesh Johari, Shie Mannor
Comparative Analysis of Viterbi Training and Maximum Likelihood Estimation for HMMs
Armen Allahverdyan, Aram Galstyan
Comparing Heads-up, Hands-free Operation of Ground Robots to Teleoperation
Matthew Marge, Aaron Powers, Jonathan Brookshire et al.
Competitive Closeness Testing
Jayadev Acharya, Hirakendu Das, Ashkan Jafarpour et al.
Complexity-Based Approach to Calibration with Checking Rules
Dean P. Foster, Alexander Rakhlin, Karthik Sridharan et al.
Complexity of Inference in Latent Dirichlet Allocation
David Sontag, Dan Roy
Composite Multiclass Losses
Elodie Vernet, Mark D. Reid, Robert C. Williamson
Computationally Efficient Convolved Multiple Output Gaussian Processes
Mauricio A. Álvarez, Neil D. Lawrence
Computationally Efficient Sufficient Dimension Reduction via Squared-Loss Mutual Information
Makoto Yamada, Gang Niu, Jun Takagi et al.
Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesian Linear Models
Edward Challis, David Barber
Confidence Sets for Network Structure
David S. Choi, Patrick J. Wolfe, Edoardo M. Airoldi
Confidence Weighted Mean Reversion Strategy for On-Line Portfolio Selection
Bin Li, Steven C.H. Hoi, Peilin Zhao et al.
Construction of Cubic Structures with Quadrotor Teams
Quentin Lindsey, Daniel Mellinger, Vijay Kumar
Contextual Bandit Algorithms with Supervised Learning Guarantees
Alina Beygelzimer, John Langford, Lihong Li et al.
Contextual Bandits with Linear Payoff Functions
Wei Chu, Lihong Li, Lev Reyzin et al.
Contextual Bandits with Similarity Information
Aleksandrs Slivkins
Contextual Gaussian Process Bandit Optimization
Andreas Krause, Cheng S. Ong
Continuous Rapid Action Value Estimates
Adrien Couëtoux, Mario Milone, Mátyás Brendel et al.