Papers
On the universality of deep learning
Emmanuel Abbe, Colin Sandon
On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law
Damien Teney, Ehsan Abbasnejad, Kushal Kafle et al.
On Uniform Convergence and Low-Norm Interpolation Learning
Lijia Zhou, Danica J. Sutherland, Nati Srebro
On Warm-Starting Neural Network Training
Jordan Ash, Ryan P. Adams
OOD-MAML: Meta-Learning for Few-Shot Out-of-Distribution Detection and Classification
Taewon Jeong, Heeyoung Kim
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Weihua Hu, Matthias Fey, Marinka Zitnik et al.
Optimal Adaptive Electrode Selection to Maximize Simultaneously Recorded Neuron Yield
John Choi, Krishan Kumar, Mohammad Khazali et al.
Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards
Kyungjae Lee, Hongjun Yang, Sungbin Lim et al.
Optimal and Practical Algorithms for Smooth and Strongly Convex Decentralized Optimization
Dmitry Kovalev, Adil Salim, Peter Richtarik
Optimal Approximation - Smoothness Tradeoffs for Soft-Max Functions
Alessandro Epasto, Mohammad Mahdian, Vahab Mirrokni et al.
Optimal Best-arm Identification in Linear Bandits
Yassir Jedra, Alexandre Proutiere
Optimal Epoch Stochastic Gradient Descent Ascent Methods for Min-Max Optimization
Yan Yan, Yi Xu, Qihang Lin et al.
Optimal Iterative Sketching Methods with the Subsampled Randomized Hadamard Transform
Jonathan Lacotte, Sifan Liu, Edgar Dobriban et al.
Optimal Learning from Verified Training Data
Nicholas Bishop, Long Tran-Thanh, Enrico Gerding
Optimal Lottery Tickets via Subset Sum: Logarithmic Over-Parameterization is Sufficient
Ankit Pensia, Shashank Rajput, Alliot Nagle et al.
Optimally Deceiving a Learning Leader in Stackelberg Games
Georgios Birmpas, Jiarui Gan, Alexandros Hollender et al.
Optimal Private Median Estimation under Minimal Distributional Assumptions
Christos Tzamos, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Ilias Zadik
Optimal Query Complexity of Secure Stochastic Convex Optimization
Wei Tang, Chien-Ju Ho, Yang Liu
Optimal Robustness-Consistency Trade-offs for Learning-Augmented Online Algorithms
Alexander Wei, Fred Zhang
Optimal Variance Control of the Score-Function Gradient Estimator for Importance-Weighted Bounds
Valentin Liévin, Andrea Dittadi, Anders Christensen et al.
Optimal visual search based on a model of target detectability in natural images
Shima Rashidi, Krista Ehinger, Andrew Turpin et al.
Optimistic Dual Extrapolation for Coherent Non-monotone Variational Inequalities
Chaobing Song, Zhengyuan Zhou, Yichao Zhou et al.
Optimization and Generalization of Shallow Neural Networks with Quadratic Activation Functions
Stefano Sarao Mannelli, Eric Vanden-Eijnden, Lenka Zdeborová