Papers
A Conditional Multinomial Mixture Model for Superset Label Learning
Liping Liu, Thomas G. Dietterich
A Conjugate Property between Loss Functions and Uncertainty Sets in Classification Problems
Takafumi Kanamori, Akiko Takeda, Taiji Suzuki
A Convex-Concave Relaxation Procedure Based Subgraph Matching Algorithm
Zhi-Yong Liu, Hong Qiao
A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation
Aaron Defazio, Tibério S. Caetano
A Correlation Clustering Approach to Link Classification in Signed Networks
Nicoló Cesa-Bianchi, Claudio Gentile, Fabio Vitale et al.
A Coupled Indian Buffet Process Model for Collaborative Filtering
Sotirios P. Chatzis
Action-Model Based Multi-agent Plan Recognition
Hankz H. Zhuo, Qiang Yang, Subbarao Kambhampati
Active Clustering of Biological Sequences
Konstantin Voevodski, Maria-Florina Balcan, Heiko Röglin et al.
Active Comparison of Prediction Models
Christoph Sawade, Niels Landwehr, Tobias Scheffer
Active Learning from Multiple Knowledge Sources
Yan Yan, Romer Rosales, Glenn Fung et al.
Active Learning of Model Evidence Using Bayesian Quadrature
Michael Osborne, Roman Garnett, Zoubin Ghahramani et al.
Active Learning of Multi-Index Function Models
Tyagi Hemant, Volkan Cevher
Active Learning Using Smooth Relative Regret Approximations with Applications
Nir Ailon, Ron Begleiter, Esther Ezra
Active Learning via Perfect Selective Classification
Ran El-Yaniv, Yair Wiener
Active Learning with Hinted Support Vector Machine
Chun-Liang Li, Chun-Sung Ferng, Hsuan-Tien Lin
Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting
Amadou Ba, Mathieu Sinn, Yannig Goude et al.
Adaptive MCMC with Bayesian Optimization
Nimalan Mahendran, Ziyu Wang, Firas Hamze et al.
Adaptive Metropolis with Online Relabeling
Remi Bardenet, Olivier Cappe, Gersende Fort et al.
Adaptive Stratified Sampling for Monte-Carlo integration of Differentiable functions
Alexandra Carpentier, Rémi Munos
A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification
Arun Rajkumar, Shivani Agarwal
A Divide-and-Conquer Method for Sparse Inverse Covariance Estimation
Cho-jui Hsieh, Arindam Banerjee, Inderjit S. Dhillon et al.
A Family of MCMC Methods on Implicitly Defined Manifolds
Marcus Brubaker, Mathieu Salzmann, Raquel Urtasun
Affine Independent Variational Inference
Edward Challis, David Barber