Papers
Layerwise Systematic Scan: Deep Boltzmann Machines and Beyond
Heng Guo, Kaan Kara, Ce Zhang
On Truly Block Eigensolvers via Riemannian Optimization
Zhiqiang Xu, Xin Gao
Post Selection Inference with Kernels
Makoto Yamada, Yuta Umezu, Kenji Fukumizu et al.
On the challenges of learning with inference networks on sparse, high-dimensional data
Rahul Krishnan, Dawen Liang, Matthew Hoffman
Parallelised Bayesian Optimisation via Thompson Sampling
Kirthevasan Kandasamy, Akshay Krishnamurthy, Jeff Schneider et al.
Can clustering scale sublinearly with its clusters? A variational EM acceleration of GMMs and k-means
Dennis Forster, Jörg Lücke
Iterative Spectral Method for Alternative Clustering
Chieh Wu, Stratis Ioannidis, Mario Sznaier et al.
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.