Papers
Uniform convergence may be unable to explain generalization in deep learning
Vaishnavh Nagarajan, J. Zico Kolter
Efficient Algorithms for Smooth Minimax Optimization
Kiran K Thekumparampil, Prateek Jain, Praneeth Netrapalli et al.
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates
Jeffrey Negrea, Mahdi Haghifam, Gintare Karolina Dziugaite et al.
Capacity Bounded Differential Privacy
Kamalika Chaudhuri, Jacob Imola, Ashwin Machanavajjhala
SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers
Igor Fedorov, Ryan P. Adams, Matthew Mattina et al.
Random Tessellation Forests
Shufei Ge, Shijia Wang, Yee Whye Teh et al.
Spherical Text Embedding
Yu Meng, Jiaxin Huang, Guangyuan Wang et al.
Hyperbolic Graph Convolutional Neural Networks
Ines Chami, Zhitao Ying, Christopher Ré et al.
How degenerate is the parametrization of neural networks with the ReLU activation function?
Dennis Maximilian Elbrächter, Julius Berner, Philipp Grohs
Random Projections and Sampling Algorithms for Clustering of High-Dimensional Polygonal Curves
Stefan Meintrup, Alexander Munteanu, Dennis Rohde
Flattening a Hierarchical Clustering through Active Learning
Fabio Vitale, Anand Rajagopalan, Claudio Gentile
Cormorant: Covariant Molecular Neural Networks
Brandon Anderson, Truong Son Hy, Risi Kondor
Learning Erdos-Renyi Random Graphs via Edge Detecting Queries
Zihan Li, Matthias Fresacher, Jonathan Scarlett
Learning Mean-Field Games
Xin Guo, Anran Hu, Renyuan Xu et al.
DTWNet: a Dynamic Time Warping Network
Xingyu Cai, Tingyang Xu, Jinfeng Yi et al.
Generalization of Reinforcement Learners with Working and Episodic Memory
Meire Fortunato, Melissa Tan, Ryan Faulkner et al.
A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution
Qing Qu, Xiao Li, Zhihui Zhu
Lower Bounds on Adversarial Robustness from Optimal Transport
Arjun Nitin Bhagoji, Daniel Cullina, Prateek Mittal
Hyperspherical Prototype Networks
Pascal Mettes, Elise van der Pol, Cees Snoek
Zero-Shot Semantic Segmentation
Maxime Bucher, Tuan-Hung VU, Matthieu Cord et al.
A Direct tilde{O}(1/epsilon) Iteration Parallel Algorithm for Optimal Transport
Arun Jambulapati, Aaron Sidford, Kevin Tian
Improved Precision and Recall Metric for Assessing Generative Models
Tuomas Kynkäänniemi, Tero Karras, Samuli Laine et al.
Think out of the "Box": Generically-Constrained Asynchronous Composite Optimization and Hedging
Pooria Joulani, András György, Csaba Szepesvari
Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization
Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue et al.