Session C7: Supervised Learning 2
Session Chair: Ricard Gavalda (UPC, Spain)
REGULAR PAPERS:
DM966 “Binary Classifier Calibration using an Ensemble of Near Isotonic Regression Models”
Mahdi Pakdaman Naeini and Gregory Cooper
DM1024 “Fixing the Convergence Problems in Parallel Asynchronous Dual Coordinate Descent”
Huan Zhang and Cho-Jui Hsieh
SHORT PAPERS:
DM347 “Learning Task Relational Structure for Multi-Task Feature Learning”
De Wang, Feiping Nie, and Heng Huang
DM562 “Scalable Discrete Supervised Hash Learning with Asymmetric Matrix Factorization”
Shifeng Zhang, Jianmin Li, Jinma Guo, and Bo Zhang
DM691 “Budgeted Batch Bayesian Optimization”
Vu Nguyen, Santu Rana, Sunil Gupta, Cheng Li, and Svetha Venkatesh
DM694 “Faster Kernels for Graphs with Continuous Attributes via Hashing”
Christopher Morris, Nils M. Kriege, Kristian Kersting, and Petra Mutzel
DM922 “Efficient Sampling-Based Kernel Mean Matching”
Swarup Chandra, Ahsanul Haque, Latifur Khan, and Charu Aggarwal
DM1117 “Sublinear Dual Coordinate Ascent for Regularized Loss Minimization”
liu liu and Dacheng Tao