Papers
Iterative Supervised Principal Components
Juho Piironen, Aki Vehtari
Fast Threshold Tests for Detecting Discrimination
Emma Pierson, Sam Corbett-Davies, Sharad Goel
Making Tree Ensembles Interpretable: A Bayesian Model Selection Approach
Satoshi Hara, Kohei Hayashi
Multi-scale Nystrom Method
Woosang Lim, Rundong Du, Bo Dai et al.
Accelerated Stochastic Power Iteration
Peng Xu, Bryan He, Christopher De Sa et al.
Growth-Optimal Portfolio Selection under CVaR Constraints
Guy Uziel, Ran El-Yaniv
Combinatorial Preconditioners for Proximal Algorithms on Graphs
Thomas Möllenhoff, Zhenzhang Ye, Tao Wu et al.
An Analysis of Categorical Distributional Reinforcement Learning
Mark Rowland, Marc Bellemare, Will Dabney et al.
A Fast Algorithm for Separated Sparsity via Perturbed Lagrangians
Aleksander Madry, Slobodan Mitrovic, Ludwig Schmidt
Gauged Mini-Bucket Elimination for Approximate Inference
Sungsoo Ahn, Michael Chertkov, Jinwoo Shin et al.
The Geometry of Random Features
Krzysztof Choromanski, Mark Rowland, Tamas Sarlos et al.
Relative Attribute Learning with Deep Attentive Cross-image Representation
Zeshang Zhang, Yingming Li, Zhongfei Zhang
Refining Synthetic Images with Semantic Layouts by Adversarial Training
Tongtong Zhao, Yuxiao Yan, JinJia Peng et al.
TVT: Two-View Transformer Network for Video Captioning
Ming Chen, Yingming Li, Zhongfei Zhang et al.
Knowledge Guided Multi-instance Multi-label Learning via Neural Networks in Medicines Prediction
Junyuan Shang, Shenda Hong, Yuxi Zhou et al.
ASVRG: Accelerated Proximal SVRG
Fanhua Shang, Licheng Jiao, Kaiwen Zhou et al.
An Empirical Evaluation of Sketched SVD and its Application to Leverage Score Ordering
Hui Han Chin, Paul Pu Liang
RICAP: Random Image Cropping and Patching Data Augmentation for Deep CNNs
Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara
Fast Dynamic Convolutional Neural Networks for Visual
Tracking
Zhiyan Cui, Na Lu, Xue Jing et al.
A Joint Selective Mechanism for Abstractive Sentence Summarization
Junjie Fu, Gongshen Liu
Efficient Mechanisms for Peer Grading and Dueling Bandits
Chuang-Chieh Lin, Chi-Jen Lu
Boosting Dynamic Programming with Neural Networks for Solving NP-hard Problems
Feidiao Yang, Tiancheng Jin, Tie-Yan Liu et al.
Fast Randomized PCA for Sparse Data
Xu Feng, Yuyang Xie, Mingye Song et al.
Profitable Bandits
Mastane Achab, Stephan Clémençon, Aurélien Garivier