Optuna: A Next-generation Hyperparameter Optimization Framework

25 July 2019

Papers citing "Optuna: A Next-generation Hyperparameter Optimization Framework"

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Title
Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models Julien N. Siems Konstantin Ditschuneit Winfried Ripken Alma Lindborg Maximilian Schambach Johannes Otterbach Martin Genzel 37 6 0 19 May 2023
TAPIR: Learning Adaptive Revision for Incremental Natural Language Understanding with a Two-Pass Model Patrick Kahardipraja Brielen Madureira David Schlangen CLL 39 9 0 18 May 2023
INCLG: Inpainting for Non-Cleft Lip Generation with a Multi-Task Image Processing Network Shuang Chen Amir Atapour-Abarghouei Edmond S. L. Ho Hubert P. H. Shum 23 5 0 17 May 2023
Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies Hanna Ziesche Leonel Rozo 31 5 0 17 May 2023
Biomarker Discovery with Quantum Neural Networks: A Case-study in CTLA4-Activation Pathways Nam D. Nguyen 25 13 0 15 May 2023
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity Raman Dutt Linus Ericsson Pedro Sanchez Sotirios A. Tsaftaris Timothy M. Hospedales MedIm 40 50 0 14 May 2023
Message Passing Neural Networks for Traffic Forecasting Arian Prabowo Hao Xue Wei Shao Piotr Koniusz Flora D. Salim GNN 30 6 0 09 May 2023
Effects of data time lag in a decision-making system using machine learning for pork price prediction Mario E. Suaza-Medina F. J. Zarazaga-Soria Jorge Pinilla-Lopez F. J. Lopez-Pellicer J. Lacasta 16 3 0 09 May 2023
Weakly-Supervised Anomaly Detection in the Milky Way M. Pettee Sowmya Thanvantri Benjamin Nachman David Shih M. Buckley J. Collins 29 7 0 05 May 2023
Shotgun crystal structure prediction using machine-learned formation energies Chang Liu H. Tamaki Tomoyasu Yokoyama Kensuke Wakasugi S. Yotsuhashi Minoru Kusaba Skolkovo Innovation Center 19 5 0 03 May 2023
Transferability of coVariance Neural Networks and Application to Interpretable Brain Age Prediction using Anatomical Features Saurabh Sihag Fangchang Ma Corey McMillan Angela Dai 48 3 0 02 May 2023
File Fragment Classification using Light-Weight Convolutional Neural Networks Mustafa Ghaleb K. Saaim Muhamad Felemban S. Al-Saleh Ahmad S. Al-Mulhem 36 1 0 01 May 2023
Multimodal Earable Sensing for Human Energy Expenditure Estimation Yasith Amarasinghe Darshana Sandaruwan Thilina Madusanka Indika Perera L. Meegahapola 32 5 0 30 Apr 2023
ALMERIA: Boosting pairwise molecular contrasts with scalable methods Rafael Mena Yedra J. L. Redondo H. Sánchez P. M. Ortigosa 26 0 0 28 Apr 2023
Advancing Ischemic Stroke Diagnosis: A Novel Two-Stage Approach for Blood Clot Origin Identification Koushik Sivarama Krishnan P. J. J. Nikesh Swathi Gnanasekar Karthik Sivarama Krishnan 29 0 0 26 Apr 2023
OpenBox: A Python Toolkit for Generalized Black-box Optimization Huaijun Jiang Yu Shen Yang Li Beicheng Xu Sixian Du Wentao Zhang Ce Zhang Bin Cui 43 5 0 26 Apr 2023
Semantic Specialization for Knowledge-based Word Sense Disambiguation Sakae Mizuki Naoaki Okazaki 26 1 0 22 Apr 2023
PED-ANOVA: Efficiently Quantifying Hyperparameter Importance in Arbitrary Subspaces Shuhei Watanabe Archit Bansal Frank Hutter 37 12 0 20 Apr 2023
HyperTuner: A Cross-Layer Multi-Objective Hyperparameter Auto-Tuning Framework for Data Analytic Services Hui Dou Shanshan Zhu Yiwen Zhang Pengfei Chen Zibin Zheng 11 0 0 20 Apr 2023
Multi-View Graph Representation Learning Beyond Homophily Bei Lin You Li Ning Gui Zhuopeng Xu Zhiwu Yu SSL 33 6 0 15 Apr 2023
An Open Source Design Optimization Toolbox Evaluated on a Soft Finger Stefan Escaida Navarro Tanguy Navez O. Goury Luis Molina Christian Duriez 28 4 0 14 Apr 2023
A Scalable Framework for Automatic Playlist Continuation on Music Streaming Services Walid Bendada Guillaume Salha-Galvan Thomas Bouabça Tristan Cazenave 24 8 0 12 Apr 2023
Selecting Robust Features for Machine Learning Applications using Multidata Causal Discovery S. SaranyaGanesh Tom Beucler Frederick Iat-Hin Tam Milton S. Gomez Jakob Runge Andreas Gerhardus 20 4 0 11 Apr 2023
Multimodal Adaptive Fusion of Face and Gait Features using Keyless attention based Deep Neural Networks for Human Identification Ashwin Prakash S. Thejaswin Athira M. Nambiar Alexandre Bernardino CVBM 27 2 0 24 Mar 2023
LON-GNN: Spectral GNNs with Learnable Orthonormal Basis Qian Tao Zhen Wang Wenyuan Yu Yaliang Li Zhewei Wei 43 5 0 24 Mar 2023
EdgeTran: Co-designing Transformers for Efficient Inference on Mobile Edge Platforms Shikhar Tuli N. Jha 41 3 0 24 Mar 2023
A Privacy-Preserving Energy Theft Detection Model for Effective Demand-Response Management in Smart Grids Arwa Alromih John A. Clark P. Gope 39 3 0 23 Mar 2023
OptBA: Optimizing Hyperparameters with the Bees Algorithm for Improved Medical Text Classification Mai A. Shaaban Mariam Kashkash Maryam Alghfeli A. Ibrahim 21 0 0 14 Mar 2023
MS-TCRNet: Multi-Stage Temporal Convolutional Recurrent Networks for Action Segmentation Using Sensor-Augmented Kinematics Adam Goldbraikh Omer Shubi Or Rubin Carla M. Pugh S. Laufer MedIm 33 1 0 14 Mar 2023
Are Models Trained on Indian Legal Data Fair? Sahil Girhepuje Anmol Goel G. Krishnan Shreyansh Goyal Satyendra Pandey Ponnurangam Kumaraguru B. Ravindran AILaw 28 1 0 13 Mar 2023
Improving physics-informed neural networks with meta-learned optimization Alexander Bihlo PINN 38 18 0 13 Mar 2023
The tree reconstruction game: phylogenetic reconstruction using reinforcement learning Dana Azouri Oz Granit Michael Alburquerque Yishay Mansour T. Pupko I. Mayrose 24 7 0 12 Mar 2023
Prefix-Tree Decoding for Predicting Mass Spectra from Molecules Samuel Goldman John Bradshaw Jiayi Xin Connor W. Coley 32 13 0 11 Mar 2023
A Framework for History-Aware Hyperparameter Optimisation in Reinforcement Learning Juan Marcelo Parra Ullauri Chen Zhen A. García-Domínguez Nelly Bencomo Changgang Zheng Juan Boubeta-Puig Guadalupe Ortiz Shufan Yang OffRL 21 0 0 09 Mar 2023
Connectivity Optimized Nested Graph Networks for Crystal Structures R. Ruff Patrick Reiser Jan Stuhmer Pascal Friederich GNN 28 11 0 27 Feb 2023
A Reinforcement Learning Approach for Scheduling Problems With Improved Generalization Through Order Swapping Deepak Vivekanandan Samuel Wirth Patrick Karlbauer Noah Klarmann 34 6 0 27 Feb 2023
Graph Neural Networks with Learnable and Optimal Polynomial Bases Y. Guo Zhewei Wei 37 31 0 24 Feb 2023
A comparative assessment of deep learning models for day-ahead load forecasting: Investigating key accuracy drivers Sotiris Pelekis Ioannis-Konstantinos Seisopoulos Evangelos Spiliotis Theodosios Pountridis Evangelos Karakolis S. Mouzakitis D. Askounis 28 17 0 23 Feb 2023
Machine Learning for QoS Prediction in Vehicular Communication: Challenges and Solution Approaches Alexandros Palaios Christian L. Vielhaus D. Külzer Cara Watermann Rodrigo Hernangómez ... Martin Kasparick G. Fettweis F. Fitzek Hans D. Schotten Sławomir Stańczak 27 13 0 23 Feb 2023
FG-SSA: Features Gradient-based Signals Selection Algorithm of Linear Complexity for Convolutional Neural Networks Yuto Omae Yusuke Sakai Hirotaka Takahashi 12 1 0 23 Feb 2023
A Supervisory Learning Control Framework for Autonomous & Real-time Task Planning for an Underactuated Cooperative Robotic task Sander De Witte Tom Lefebvre Thijs Van Hauwermeiren Guillaume Crevecoeur 21 0 0 22 Feb 2023
Toward Asymptotic Optimality: Sequential Unsupervised Regression of Density Ratio for Early Classification Akinori F. Ebihara Taiki Miyagawa K. Sakurai Hitoshi Imaoka 24 2 0 20 Feb 2023
Autotuning Symbolic Optimization Fabrics for Trajectory Generation Max Spahn Javier Alonso-Mora 23 2 0 14 Feb 2023
Auto-SpMV: Automated Optimizing SpMV Kernels on GPU Mina Ashoury Mohammad Loni F. Khunjush Masoud Daneshtalab 26 1 0 11 Feb 2023
Controllable Lexical Simplification for English Kim Cheng Sheang Daniel Ferrés Horacio Saggion 26 3 0 06 Feb 2023
Federated Privacy-preserving Collaborative Filtering for On-Device Next App Prediction A. Sayapin Gleb Balitskiy Daniel Bershatsky Aleksandr Katrutsa Evgeny Frolov Alexey Frolov Ivan Oseledets Vitaliy N. Kharin FedML 31 1 0 05 Feb 2023
The Contextual Lasso: Sparse Linear Models via Deep Neural Networks Ryan Thompson Amir Dezfouli Robert Kohn 38 4 0 02 Feb 2023
Action Capsules: Human Skeleton Action Recognition Ali Farajzadeh Bavil H. Damirchi H. Taghirad 36 15 0 30 Jan 2023
DAG Learning on the Permutahedron Valentina Zantedeschi Luca Franceschi Jean Kaddour Matt J. Kusner Vlad Niculae 34 11 0 27 Jan 2023
Goal-Image Conditioned Dynamic Cable Manipulation through Bayesian Inference and Multi-Objective Black-Box Optimization K. Takahashi T. Taniguchi 31 0 0 27 Jan 2023