Papers
Active Learning for Accurate Estimation of Linear Models
Carlos Riquelme, Mohammad Ghavamzadeh, Alessandro Lazaric
Active Learning for Cost-Sensitive Classification
Akshay Krishnamurthy, Alekh Agarwal, Tzu-Kuo Huang et al.
Active Learning for Top-$K$ Rank Aggregation from Noisy Comparisons
Soheil Mohajer, Changho Suh, Adel Elmahdy
AdaNet: Adaptive Structural Learning of Artificial Neural Networks
Corinna Cortes, Xavier Gonzalvo, Vitaly Kuznetsov et al.
Adapting Kernel Representations Online Using Submodular Maximization
Matthew Schlegel, Yangchen Pan, Jiecao Chen et al.
Adaptive Consensus ADMM for Distributed Optimization
Zheng Xu, Gavin Taylor, Hao Li et al.
Adaptive Feature Selection: Computationally Efficient Online Sparse Linear Regression under RIP
Satyen Kale, Zohar Karnin, Tengyuan Liang et al.
Adaptive Multiple-Arm Identification
Jiecao Chen, Xi Chen, Qin Zhang et al.
Adaptive Neural Networks for Efficient Inference
Tolga Bolukbasi, Joseph Wang, Ofer Dekel et al.
Adaptive Sampling Probabilities for Non-Smooth Optimization
Hongseok Namkoong, Aman Sinha, Steve Yadlowsky et al.
A Distributional Perspective on Reinforcement Learning
Marc G. Bellemare, Will Dabney, Rémi Munos
Adversarial Feature Matching for Text Generation
Yizhe Zhang, Zhe Gan, Kai Fan et al.
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks
Lars Mescheder, Sebastian Nowozin, Andreas Geiger
A Laplacian Framework for Option Discovery in Reinforcement Learning
Marlos C. Machado, Marc G. Bellemare, Michael Bowling
Algebraic Variety Models for High-Rank Matrix Completion
Greg Ongie, Rebecca Willett, Robert D. Nowak et al.
Algorithmic Stability and Hypothesis Complexity
Tongliang Liu, Gábor Lugosi, Gergely Neu et al.
Algorithms for $\ell_p$ Low-Rank Approximation
Flavio Chierichetti, Sreenivas Gollapudi, Ravi Kumar et al.
An Adaptive Test of Independence with Analytic Kernel Embeddings
Wittawat Jitkrittum, Zoltán Szabó, Arthur Gretton
Analogical Inference for Multi-relational Embeddings
Hanxiao Liu, Yuexin Wu, Yiming Yang
An Alternative Softmax Operator for Reinforcement Learning
Kavosh Asadi, Michael L. Littman
Analysis and Optimization of Graph Decompositions by Lifted Multicuts
Andrea Horňáková, Jan-Hendrik Lange, Bjoern Andres
Analytical Guarantees on Numerical Precision of Deep Neural Networks
Charbel Sakr, Yongjune Kim, Naresh Shanbhag
An Efficient, Sparsity-Preserving, Online Algorithm for Low-Rank Approximation
David Anderson, Ming Gu