Papers
4,025 papers found
On Minimax Optimality of GANs for Robust Mean Estimation
Kaiwen Wu, Gavin Weiguang Ding, Ruitong Huang et al.
On Pruning for Score-Based Bayesian Network Structure Learning
Alvaro Henrique Chaim Correia, James Cussens, Cassio de Campos
On Random Subsampling of Gaussian Process Regression: A Graphon-Based Analysis
Kohei Hayashi, Masaaki Imaizumi, Yuichi Yoshida
On the Completeness of Causal Discovery in the Presence of Latent Confounding with Tiered Background Knowledge
Bryan Andrews, Peter Spirtes, Gregory F. Cooper
On the Convergence of SARAH and Beyond
Bingcong Li, Meng Ma, Georgios B. Giannakis
On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms
Alireza Fallah, Aryan Mokhtari, Asuman Ozdaglar
On the interplay between noise and curvature and its effect on optimization and generalization
Valentin Thomas, Fabian Pedregosa, Bart Merriënboer et al.
On the optimality of kernels for high-dimensional clustering
Leena C Vankadara, Debarghya Ghoshdastidar
On the Sample Complexity of Learning Sum-Product Networks
Ishaq Aden-Ali, Hassan Ashtiani
On Thompson Sampling for Smoother-than-Lipschitz Bandits
James Grant, David Leslie
Optimal Algorithms for Multiplayer Multi-Armed Bandits
PO-AN WANG, Alexandre Proutiere, Kaito Ariu et al.
Optimal Approximation of Doubly Stochastic Matrices
Nikitas Rontsis, Paul Goulart
Optimal Deterministic Coresets for Ridge Regression
Praneeth Kacham, David Woodruff
Optimal sampling in unbiased active learning
Henrik Imberg, Johan Jonasson, Marina Axelson-Fisk
Optimization Methods for Interpretable Differentiable Decision Trees Applied to Reinforcement Learning
Andrew Silva, Taylor Killian, Ivan Jimenez et al.
Optimization of Graph Total Variation via Active-Set-based Combinatorial Reconditioning
Zhenzhang Ye, Thomas Möllenhoff, Tao Wu et al.
Optimized Score Transformation for Fair Classification
Dennis Wei, Karthikeyan Natesan Ramamurthy, Flavio Calmon
Optimizing Millions of Hyperparameters by Implicit Differentiation
Jonathan Lorraine, Paul Vicol, David Duvenaud
Ordered SGD: A New Stochastic Optimization Framework for Empirical Risk Minimization
Kenji Kawaguchi, Haihao Lu
Ordering-Based Causal Structure Learning in the Presence of Latent Variables
Daniel Bernstein, Basil Saeed, Chandler Squires et al.
Orthogonal Gradient Descent for Continual Learning
Mehrdad Farajtabar, Navid Azizan, Alex Mott et al.
OSOM: A simultaneously optimal algorithm for multi-armed and linear contextual bandits
Niladri Chatterji, Vidya Muthukumar, Peter Bartlett
Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes
Li-Fang Cheng, Bianca Dumitrascu, Michael Zhang et al.
Permutation Invariant Graph Generation via Score-Based Generative Modeling
Chenhao Niu, Yang Song, Jiaming Song et al.
Persistence Enhanced Graph Neural Network
Qi Zhao, Ze Ye, Chao Chen et al.