M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling

20 March 2024

Papers citing "M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling"

29 / 29 papers shown

Title
Sequential Model for Predicting Patient Adherence in Subcutaneous Immunotherapy for Allergic Rhinitis Yin Li Yu Xiong Wenxin Fan Kai Wang Qingqing Yu Liping Si Patrick van der Smagt Jun Tang Nutan Chen 41 1 0 21 Jan 2024
Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization Yongqiang Chen Kaiwen Zhou Yatao Bian Binghui Xie Bing Wu ... Kaili Ma Han Yang P. Zhao Bo Han James Cheng OOD OODD 47 36 0 15 Jun 2022
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization Alexandre Ramé Corentin Dancette Matthieu Cord OOD 104 209 0 07 Sep 2021
Domain Invariant Adversarial Learning Matan Levi Idan Attias A. Kontorovich AAML OOD 75 11 0 01 Apr 2021
Scalable Pareto Front Approximation for Deep Multi-Objective Learning Michael Ruchte Josif Grabocka 61 59 0 24 Mar 2021
Domain Adversarial Neural Networks for Domain Generalization: When It Works and How to Improve Anthony Sicilia Xingchen Zhao Seong Jae Hwang OOD AI4CE 33 75 0 07 Feb 2021
Hierarchical Variational Auto-Encoding for Unsupervised Domain Generalization Xudong Sun Florian Buettner BDL OOD DRL 42 3 0 23 Jan 2021
In Search of Lost Domain Generalization Ishaan Gulrajani David Lopez-Paz OOD 76 1,143 0 02 Jul 2020
Pareto Multi-Task Learning Xi Lin Hui-Ling Zhen Zhenhua Li Qingfu Zhang Sam Kwong 76 350 0 30 Dec 2019
Tutorial and Survey on Probabilistic Graphical Model and Variational Inference in Deep Reinforcement Learning Xudong Sun B. Bischl BDL 47 9 0 25 Aug 2019
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 177 2,222 0 05 Jul 2019
Variational Resampling Based Assessment of Deep Neural Networks under Distribution Shift Xudong Sun Alexej Gossmann Yu Wang B. Bischl OOD 53 5 0 07 Jun 2019
DIVA: Domain Invariant Variational Autoencoders Maximilian Ilse Jakub M. Tomczak Christos Louizos Max Welling DRL OOD 65 201 0 24 May 2019
Learning Hierarchical Priors in VAEs Alexej Klushyn Nutan Chen Richard Kurle Botond Cseke Patrick van der Smagt BDL CML DRL 35 100 0 13 May 2019
On the Convergence of Adam and Beyond Sashank J. Reddi Satyen Kale Surinder Kumar 90 2,498 0 19 Apr 2019
Domain Generalization by Solving Jigsaw Puzzles Fabio Maria Carlucci A. DÍnnocente S. Bucci Barbara Caputo Tatiana Tommasi SSL 64 815 0 16 Mar 2019
High Dimensional Restrictive Federated Model Selection with multi-objective Bayesian Optimization over shifted distributions Xudong Sun Andrea Bommert Florian Pfisterer Jörg Rahnenführer Michel Lang B. Bischl FedML 50 12 0 24 Feb 2019
Piecewise Strong Convexity of Neural Networks Tristan Milne 32 21 0 30 Oct 2018
Multi-Task Learning as Multi-Objective Optimization Ozan Sener V. Koltun 159 1,281 0 10 Oct 2018
Taming VAEs Danilo Jimenez Rezende Fabio Viola DRL CML 63 186 0 01 Oct 2018
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review Sergey Levine AI4CE BDL 73 672 0 02 May 2018
Tunability: Importance of Hyperparameters of Machine Learning Algorithms Philipp Probst B. Bischl A. Boulesteix 60 614 0 26 Feb 2018
Decoupled Weight Decay Regularization I. Loshchilov Frank Hutter OffRL 135 2,136 0 14 Nov 2017
Learning to Generalize: Meta-Learning for Domain Generalization Da Li Yongxin Yang Yi-Zhe Song Timothy M. Hospedales OOD 91 1,422 0 10 Oct 2017
Deeper, Broader and Artier Domain Generalization Da Li Yongxin Yang Yi-Zhe Song Timothy M. Hospedales OOD 124 1,444 0 09 Oct 2017
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever Pieter Abbeel GAN 157 4,235 0 12 Jun 2016
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation Tejas D. Kulkarni Karthik Narasimhan A. Saeedi J. Tenenbaum 68 4 0 20 Apr 2016
Ladder Variational Autoencoders C. Sønderby T. Raiko Lars Maaløe Søren Kaae Sønderby Ole Winther BDL DRL 95 911 0 06 Feb 2016
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 366 9,484 0 28 May 2015