Stochastic Hyperparameter Optimization through Hypernetworks

26 February 2018

Papers citing "Stochastic Hyperparameter Optimization through Hypernetworks"

50 / 97 papers shown

Title
Uncertainty quantification of neural network models of evolving processes via Langevin sampling C. Safta Reese E. Jones Ravi G. Patel Raelynn Wonnacot Dan S. Bolintineanu Craig M. Hamel S. Kramer BDL 36 0 0 21 Apr 2025
Individualised Treatment Effects Estimation with Composite Treatments and Composite Outcomes V. Chauhan Lei A. Clifton Gaurav Nigam David A. Clifton CML 63 0 0 12 Feb 2025
Pareto Set Learning for Multi-Objective Reinforcement Learning Erlong Liu Yu-Chang Wu Xiaobin Huang Chengrui Gao Ren-Jian Wang Ke Xue Chao Qian OffRL 44 2 0 12 Jan 2025
JacNet: Learning Functions with Structured Jacobians Jonathan Lorraine Safwan Hossain 48 6 0 23 Aug 2024
Implicit Neural Representation For Accurate CFD Flow Field Prediction L. D. Vito Nils Pinnau Simone Dey AI4CE 43 1 0 12 Aug 2024
A Linear Programming Enhanced Genetic Algorithm for Hyperparameter Tuning in Machine Learning Ankur Sinha Paritosh Pankaj 27 0 0 30 Jun 2024
Improving Hyperparameter Optimization with Checkpointed Model Weights Nikhil Mehta Jonathan Lorraine Steve Masson Ramanathan Arunachalam Zaid Pervaiz Bhat James Lucas Arun George Zachariah 49 4 0 26 Jun 2024
Solving Vision Tasks with Simple Photoreceptors Instead of Cameras Andrei Atanov Jiawei Fu Rishubh Singh Isabella Yu Andrew Spielberg Amir Zamir 52 1 0 17 Jun 2024
LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis Kevin Xie Jonathan Lorraine Tianshi Cao Jun Gao James Lucas Antonio Torralba Sanja Fidler Fangyin Wei DiffM 31 36 0 22 Mar 2024
Online Algorithmic Recourse by Collective Action Elliot Creager Richard Zemel 10 3 0 29 Dec 2023
Principled Weight Initialization for Hypernetworks Oscar Chang Lampros Flokas Hod Lipson 22 73 0 13 Dec 2023
Using Large Language Models for Hyperparameter Optimization Michael Ruogu Zhang Nishkrit Desai Juhan Bae Jonathan Lorraine Jimmy Ba 34 51 0 07 Dec 2023
Learning Physics-Inspired Regularization for Medical Image Registration with Hypernetworks Anna Reithmeir Julia A. Schnabel V. Zimmer MedIm AI4CE 35 2 0 14 Nov 2023
Dual Meta-Learning with Longitudinally Generalized Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan Yongheng Sun Fan Wang Jun Shu Haifeng Wang Li Meng C. Lian 30 1 0 13 Aug 2023
Combiner and HyperCombiner Networks: Rules to Combine Multimodality MR Images for Prostate Cancer Localisation Wen Yan B. Chiu Ziyi Shen Qianye Yang Tom Syer ... S. Punwani M. Emberton David Atkinson D. Barratt Yipeng Hu MedIm 29 5 0 17 Jul 2023
Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels M. Bitzer Mona Meister Christoph Zimmer 24 9 0 16 Jun 2023
A Brief Review of Hypernetworks in Deep Learning Vinod Kumar Chauhan Jiandong Zhou Ping Lu Soheila Molaei David A. Clifton 27 94 0 12 Jun 2023
ATT3D: Amortized Text-to-3D Object Synthesis Jonathan Lorraine Kevin Xie Fangyin Wei Chen-Hsuan Lin Towaki Takikawa Nicholas Sharp Nayeon Lee Xuan Li Sanja Fidler James Lucas DiffM 17 86 0 06 Jun 2023
Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation V. Chauhan Jiandong Zhou Ghadeer O. Ghosheh Soheila Molaei David A. Clifton 30 8 0 25 May 2023
Low-Variance Gradient Estimation in Unrolled Computation Graphs with ES-Single Paul Vicol Zico Kolter Kevin Swersky 18 6 0 21 Apr 2023
Magnitude Invariant Parametrizations Improve Hypernetwork Learning Jose Javier Gonzalez Ortiz John Guttag Adrian V. Dalca 34 7 0 15 Apr 2023
Scale-Space Hypernetworks for Efficient Biomedical Imaging Jose Javier Gonzalez Ortiz John Guttag Adrian V. Dalca 33 0 0 11 Apr 2023
Implicit Bilevel Optimization: Differentiating through Bilevel Optimization Programming Francesco Alesiani 11 4 0 28 Feb 2023
DrasCLR: A Self-supervised Framework of Learning Disease-related and Anatomy-specific Representation for 3D Medical Images K. Yu Li Sun Junxiang Chen Maxwell Reynolds Tigmanshu Chaudhary Kayhan Batmanghelich 25 1 0 21 Feb 2023
Achieving Hierarchy-Free Approximation for Bilevel Programs With Equilibrium Constraints Jiayang Li Jiahao Yu Boyi Liu Zhaoran Wang Y. Nie 35 6 0 20 Feb 2023
ApproxED: Approximate exploitability descent via learned best responses Carlos Martin T. Sandholm 32 0 0 20 Jan 2023
On Implicit Bias in Overparameterized Bilevel Optimization Paul Vicol Jon Lorraine Fabian Pedregosa David Duvenaud Roger C. Grosse AI4CE 33 37 0 28 Dec 2022
CPMLHO:Hyperparameter Tuning via Cutting Plane and Mixed-Level Optimization Shu-Bo Yang Yang Jiao Shaoyu Dou Mana Zheng Chen Zhu 25 0 0 11 Dec 2022
Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve Juhan Bae Michael Ruogu Zhang Michael Ruan Eric Wang S. Hasegawa Jimmy Ba Roger C. Grosse DRL 21 17 0 07 Dec 2022
HMOE: Hypernetwork-based Mixture of Experts for Domain Generalization Jingang Qu T. Faney Zehao Wang Patrick Gallinari Soleiman Yousef J. D. Hemptinne OOD 24 7 0 15 Nov 2022
On Stability and Generalization of Bilevel Optimization Problem Meng Ding Ming Lei Yunwen Lei Di Wang Jinhui Xu 32 0 0 03 Oct 2022
OCD: Learning to Overfit with Conditional Diffusion Models Shahar Lutati Lior Wolf DiffM 20 8 0 02 Oct 2022
Task Selection for AutoML System Evaluation Jon Lorraine Nihesh Anderson Chansoo Lee Quentin de Laroussilhe Mehadi Hassen 49 4 0 26 Aug 2022
A Globally Convergent Gradient-based Bilevel Hyperparameter Optimization Method Ankur Sinha Satender Gunwal Shivam Kumar 4 2 0 25 Aug 2022
Gradient-based Bi-level Optimization for Deep Learning: A Survey Can Chen Xiangshan Chen Chen-li Ma Zixuan Liu Xue Liu 91 35 0 24 Jul 2022
Value Function Based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems Lucy L. Gao J. Ye Haian Yin Shangzhi Zeng Jin Zhang 29 23 0 13 Jun 2022
Communication-Efficient Robust Federated Learning with Noisy Labels Junyi Li Jian Pei Heng Huang FedML 20 18 0 11 Jun 2022
Learning the Space of Deep Models G. Berardi Luca de Luigi Samuele Salti Luigi Di Stefano SSL 11 3 0 10 Jun 2022
Hyper-Learning for Gradient-Based Batch Size Adaptation Calum MacLellan Feng Dong 8 0 0 17 May 2022
Layer-wised Model Aggregation for Personalized Federated Learning Xiaosong Ma Jie Zhang Song Guo Wenchao Xu FedML 27 170 0 09 May 2022
Beyond backpropagation: bilevel optimization through implicit differentiation and equilibrium propagation Nicolas Zucchet João Sacramento 28 15 0 06 May 2022
Local Stochastic Bilevel Optimization with Momentum-Based Variance Reduction Junyi Li Feihu Huang Heng-Chiao Huang FedML 19 27 0 03 May 2022
Unified Implicit Neural Stylization Zhiwen Fan Yi Ding Peihao Wang Xinyu Gong Dejia Xu Zhangyang Wang 31 68 0 05 Apr 2022
Learning the Effect of Registration Hyperparameters with HyperMorph Andrew Hoopes Malte Hoffmann Douglas N. Greve Bruce Fischl John Guttag Adrian V. Dalca 28 38 0 30 Mar 2022
Computing Multiple Image Reconstructions with a Single Hypernetwork Alan Q. Wang Adrian V. Dalca M. Sabuncu 38 8 0 22 Feb 2022
CVAE-H: Conditionalizing Variational Autoencoders via Hypernetworks and Trajectory Forecasting for Autonomous Driving Geunseob Oh H. Peng 28 14 0 24 Jan 2022
Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies Paul Vicol Luke Metz Jascha Narain Sohl-Dickstein 27 67 0 27 Dec 2021
Lyapunov Exponents for Diversity in Differentiable Games Jonathan Lorraine Paul Vicol Jack Parker-Holder Tal Kachman Luke Metz Jakob N. Foerster 25 7 0 24 Dec 2021
Object Pursuit: Building a Space of Objects via Discriminative Weight Generation Chuanyu Pan Yanchao Yang Kaichun Mo Yueqi Duan Leonidas J. Guibas OCL 23 1 0 15 Dec 2021
Efficient differentiable quadratic programming layers: an ADMM approach A. Butler R. Kwon 32 18 0 14 Dec 2021