Abstract is missing.
- Differentiable Architecture Search for Reinforcement LearningYingjie Miao, Xingyou Song, John D. Co-Reyes, Daiyi Peng, Summer Yue, Eugene Brevdo, Aleksandra Faust. [doi]
- LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for LassoKenan Sehic, Alexandre Gramfort, Joseph Salmon, Luigi Nardi. [doi]
- On the Optimality Gap of Warm-Started Hyperparameter OptimizationParikshit Ram. [doi]
- DIFER: Differentiable Automated Feature EngineeringGuanghui Zhu, Zhuoer Xu, Chunfeng Yuan, Yihua Huang. [doi]
- Syne Tune: A Library for Large Scale Hyperparameter Tuning and Reproducible ResearchDavid Salinas, Matthias W. Seeger, Aaron Klein, Valerio Perrone, Martin Wistuba, Cédric Archambeau. [doi]
- AutoCoG: A Unified Data-Model Co-Search Framework for Graph Neural NetworksDuc N. M. Hoang, Kaixiong Zhou, Tianlong Chen, Xia Hu, Zhangyang Wang. [doi]
- YAHPO Gym - An Efficient Multi-Objective Multi-Fidelity Benchmark for Hyperparameter OptimizationFlorian Pfisterer, Lennart Schneider, Julia Moosbauer, Martin Binder, Bernd Bischl. [doi]
- ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution RepresentationHsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen 0001. [doi]
- Meta-Adapters: Parameter Efficient Few-shot Fine-tuning through Meta-LearningTrapit Bansal, Salaheddin Alzubi, Tong Wang, Jay Yoon Lee, Andrew McCallum. [doi]
- Bayesian Generational Population-Based TrainingXingchen Wan, Cong Lu, Jack Parker-Holder, Philip J. Ball, Vu Nguyen, Binxin Ru, Michael A. Osborne. [doi]
- BERT-Sort: A Zero-shot MLM Semantic Encoder on Ordinal Features for AutoMLMehdi Bahrami, Wei-Peng Chen, Lei Liu, Mukul Prasad. [doi]
- Automated Super-Network Generation for Scalable Neural Architecture SearchJuan Pablo Muñoz, Nikolay Lyalyushkin, Chaunte Willetta Lacewell, Anastasia Senina, Daniel Cummings, Anthony Sarah, Alexander Kozlov, Nilesh Jain. [doi]
- Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox OptimizationXingyou Song, Sagi Perel, Chansoo Lee, Greg Kochanski, Daniel Golovin. [doi]
- Opening the Black Box: Automated Software Analysis for Algorithm SelectionDamir Pulatov, Marie Anastacio, Lars Kotthoff, Holger H. Hoos. [doi]
- Tackling Neural Architecture Search With Quality Diversity OptimizationLennart Schneider, Florian Pfisterer, Paul Kent, Jürgen Branke, Bernd Bischl, Janek Thomas. [doi]
- When, where, and how to add new neurons to ANNsKaitlin Maile, Emmanuel Rachelson, Hervé Luga, Dennis George Wilson. [doi]
- Non-Uniform Adversarially Robust PruningQi Zhao, Tim Köonigl, Christian Wressnegger. [doi]
- What to expect of hardware metric predictors in NASKevin Alexander Laube, Maximus Mutschler, Andreas Zell. [doi]
- Automatic Termination for Hyperparameter OptimizationAnastasia Makarova, Huibin Shen, Valerio Perrone, Aaron Klein, Jean Baptiste Faddoul, Andreas Krause 0001, Matthias W. Seeger, Cédric Archambeau. [doi]
- A Tree-Structured Multi-Task Model RecommenderLijun Zhang, Xiao Liu, Hui Guan. [doi]