Papers
4,122 papers found
(De)-regularized Maximum Mean Discrepancy Gradient Flow
Zonghao Chen, Aratrika Mustafi, Pierre Glaser et al.
Derivative-Informed Neural Operator Acceleration of Geometric MCMC for Infinite-Dimensional Bayesian Inverse Problems
Lianghao Cao, Thomas O'Leary-Roseberry, Omar Ghattas
Determine the Number of States in Hidden Markov Models via Marginal Likelihood
Yang Chen, Cheng-Der Fuh, Chu-Lan Michael Kao
Diffeomorphism-based feature learning using Poincaré inequalities on augmented input space
Romain Verdière, Clémentine Prieur, Olivier Zahm
Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies
Zhanyu Wang, Guang Cheng, Jordan Awan
Differentially Private Multivariate Medians
Kelly Ramsay, Aukosh Jagannath, Shoja'eddin Chenouri
Directed Cyclic Graphs for Simultaneous Discovery of Time-Lagged and Instantaneous Causality from Longitudinal Data Using Instrumental Variables
Wei Jin, Yang Ni, Amanda B. Spence et al.
DisC2o-HD: Distributed causal inference with covariates shift for analyzing real-world high-dimensional data
Jiayi Tong, Jie Hu, George Hripcsak et al.
Distributed Stochastic Bilevel Optimization: Improved Complexity and Heterogeneity Analysis
Youcheng Niu, Jinming Xu, Ying Sun et al.
Distribution Estimation under the Infinity Norm
Aryeh Kontorovich, Amichai Painsky
Distribution Free Tests for Model Selection Based on Maximum Mean Discrepancy with Estimated Parameters
Florian Brück, Jean-David Fermanian, Aleksey Min
DRM Revisited: A Complete Error Analysis
Yuling Jiao, Ruoxuan Li, Peiying Wu et al.
Dynamic angular synchronization under smoothness constraints
Ernesto Araya, Mihai Cucuringu, Hemant Tyagi
Dynamic Bayesian Learning for Spatiotemporal Mechanistic Models
Sudipto Banerjee, Xiang Chen, Ian Frankenburg et al.
Early Alignment in Two-Layer Networks Training is a Two-Edged Sword
Etienne Boursier, Nicolas Flammarion
EF21 with Bells & Whistles: Six Algorithmic Extensions of Modern Error Feedback
Ilyas Fatkhullin, Igor Sokolov, Eduard Gorbunov et al.
Efficient and Robust Semi-supervised Estimation of Average Treatment Effect with Partially Annotated Treatment and Response
Jue Hou, Rajarshi Mukherjee, Tianxi Cai
Efficient and Robust Transfer Learning of Optimal Individualized Treatment Regimes with Right-Censored Survival Data
Pan Zhao, Julie Josse, Shu Yang
Efficient Knowledge Deletion from Trained Models Through Layer-wise Partial Machine Unlearning
Vinay Chakravarthi Gogineni, Esmaeil S. Nadimi
Efficiently Escaping Saddle Points in Bilevel Optimization
Minhui Huang, Xuxing Chen, Kaiyi Ji et al.
Efficient Methods for Non-stationary Online Learning
Peng Zhao, Yan-Feng Xie, Lijun Zhang et al.
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling
Antoine Chatalic, Nicolas Schreuder, Ernesto De Vito et al.
Efficient Online Prediction for High-Dimensional Time Series via Joint Tensor Tucker Decomposition
Zhenting Luan, Defeng Sun, Haoning Wang et al.
EMaP: Explainable AI with Manifold-based Perturbations
Minh Nhat Vu, Huy Quang Mai, My T. Thai
Enhanced Feature Learning via Regularisation: Integrating Neural Networks and Kernel Methods
Bertille FOLLAIN, Francis BACH