Nonlinear Sufficient Dimension Reduction with a Stochastic Neural Network

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 36 of 50
1. Verfasser: LIANG, SIQI (VerfasserIn)
Weitere Verfasser: Sun, Yan (VerfasserIn), Liang, Faming (VerfasserIn)
Pages:36
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2023
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
Autoregressive Perturbations for Data Poisoning 2023 Sandoval-Segura, Pedro
mRI: Multi-modal 3D Human Pose Estimation Dataset using mmWave, RGB-D, and Inertial Sensors 2023 An, Sizhe
Robust Calibration with Multi-domain Temperature Scaling 2023 Yu, Yaodong
Local Identifiability of Deep ReLU Neural Networks: the Theory 2023 Bona-Pellissier, Joachim
Generalization Bounds with Minimal Dependency on Hypothesis Class via Distributionally Robust Optimization 2023 Zeng, Yibo
QUARK: Controllable Text Generation with Reinforced Unlearning 2023 Lu, Ximing
Provably tuning the ElasticNet across instances 2023 Balcan, Maria-Florina F
Non-rigid Point Cloud Registration with Neural Deformation Pyramid 2023 LI, YANG
Hedging as Reward Augmentation in Probabilistic Graphical Models 2023 Bhattacharjya, Debarun
Debiased, Longitudinal and Coordinated Drug Recommendation through Multi-Visit Clinic Records 2023 Sun, Hongda
Receding Horizon Inverse Reinforcement Learning 2023 Xu, Yiqing
Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights 2023 Schürholt, Konstantin
Flexible Diffusion Modeling of Long Videos 2023 Harvey, William
ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery 2023 Demir, Andaç
Segmenting Moving Objects via an Object-Centric Layered Representation 2023 Xie, Junyu
On the Strong Correlation Between Model Invariance and Generalization 2023 Deng, Weijian
Exponentially Improving the Complexity of Simulating the Weisfeiler-Lehman Test with Graph Neural Networks 2023 Aamand, Anders
Safe Opponent-Exploitation Subgame Refinement 2023 Liu, Mingyang
Parameter-free Dynamic Graph Embedding for Link Prediction 2023 Liu, Jiahao
Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees 2023 Deng, Wenying
Alle Artikel auflisten