MLSP-P77.3

Learning Beyond the Gaussian Data: Learning Dynamics of Neural Networks on an Expressive and Cumulant-Controllable Data Model

Onat Üre, Samet Demir, Zafer Dogan, Koç University, Türkiye
Session:
MLSP-P77: Statistical Learning and Reinforcement Learning Methods Poster
Track:
Machine Learning for Signal Processing [ML]
Location:
Poster Area 10
Presentation Time:
Fri, 8 May, 09:00 - 11:00
Presentation
Discussion
Resources
No resources available.
Session MLSP-P77
MLSP-P77.1: MISCLASSIFICATION RATE AND PRIVACY-UTILITY TRADE-OFFS IN GRAPH CONVOLUTIONAL NETWORKS VIA SUBSAMPLING STABILITY
Yexin Zhang, Zhongtian Ma, Northwestern Polytechnical University, China; Qiaosheng Zhang, Shanghai Artificial Intelligence Laboratory, China; Zhen Wang, Northwestern Polytechnical University, China
MLSP-P77.2: Accelerated training of Gaussian processes using banded square exponential covariances
Emily Charlotte Ehrhardt, Felipe Tobar, Imperial College London, United Kingdom of Great Britain and Northern Ireland
MLSP-P77.3: Learning Beyond the Gaussian Data: Learning Dynamics of Neural Networks on an Expressive and Cumulant-Controllable Data Model
Onat Üre, Samet Demir, Zafer Dogan, Koç University, Türkiye
MLSP-P77.4: Multi-Dictionary Learning for Low Rank Sparse Coding
Boya Ma, Abram Magner, Maxwell McNeil, Petko Bogdanov, University at Albany - SUNY, United States of America
MLSP-P77.5: A Data-Informed Adaptive Convolution Kernel Learning Method for Image Fusion
Lei Dai, Xinyu Miao, Baichuan Zhang, East China University of Science and Technology, China; Haiyang Yu, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China; Ting Dai, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, China; Zhihua Chen, East China University of Science and Technology, China; Liming Zhang, University of Macau, China
MLSP-P77.6: ADAPTIVELY TAMING ESTIMATION BIAS FOR DEEP REINFORCEMENT LEARNING WITH MULTI-OBJECTIVE OPTIMIZATION
Qiang He, Setareh Maghsudi, Ruhr University Bochum, Germany
MLSP-P77.7: CONFORMAL SIGNAL TEMPORAL LOGIC FOR ROBUST REINFORCEMENT LEARNING CONTROL: A CASE STUDY
Hani Beirami, University of Tehran, Iran (Islamic Republic of); M M Manjurul Islam, Ulster University, United Kingdom of Great Britain and Northern Ireland
MLSP-P77.8: NONCONVEX REGULARIZATION FOR FEATURE SELECTION IN REINFORCEMENT LEARNING
Kyohei Suzuki, Konstantinos Slavakis, Institute of Science Tokyo, Japan
Contacts