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Workshop
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c-TPE: Generalizing Tree-structured Parzen Estimator with Inequality Constraints for Continuous and Categorical Hyperparameter Optimization Shuhei Watanabe · Frank Hutter |
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Poster
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Thu 9:00 |
DivBO: Diversity-aware CASH for Ensemble Learning Yu Shen · Yupeng Lu · Yang Li · Yaofeng Tu · Wentao Zhang · Bin CUI |
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Poster
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Thu 14:00 |
Supervising the Multi-Fidelity Race of Hyperparameter Configurations Martin Wistuba · Arlind Kadra · Josif Grabocka |
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Workshop
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PyHopper - A Plug-and-Play Hyperparameter Optimization Engine Mathias Lechner · Ramin Hasani · Sophie Neubauer · Philipp Neubauer · Daniela Rus |
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Poster
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Thu 9:00 |
Sparse Gaussian Process Hyperparameters: Optimize or Integrate? Vidhi Lalchand · Wessel Bruinsma · David Burt · Carl Edward Rasmussen |
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Workshop
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Faster Hyperparameter Search on Graphs via Calibrated Dataset Condensation Mucong Ding · Xiaoyu Liu · Tahseen Rabbani · Furong Huang |
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Workshop
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Scalable Gaussian Process Hyperparameter Optimization via Coverage Regularization Killian Wood · Alec Dunton · Amanda Muyskens · Benjamin Priest |
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Poster
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Thu 9:00 |
Syndicated Bandits: A Framework for Auto Tuning Hyper-parameters in Contextual Bandit Algorithms QIN DING · Yue Kang · Yi-Wei Liu · Thomas Chun Man Lee · Cho-Jui Hsieh · James Sharpnack |
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Poster
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Thu 9:00 |
Joint Entropy Search For Maximally-Informed Bayesian Optimization Carl Hvarfner · Frank Hutter · Luigi Nardi |
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Poster
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Wed 14:00 |
Gradient Descent: The Ultimate Optimizer Kartik Chandra · Audrey Xie · Jonathan Ragan-Kelley · ERIK MEIJER |
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Workshop
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Multi-step Planning for Automated Hyperparameter Optimization with OptFormer Lucio M Dery · Abram Friesen · Nando de Freitas · Marc'Aurelio Ranzato · Yutian Chen |
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Poster
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Tue 9:00 |
AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning Krishnateja Killamsetty · Guttu Sai Abhishek · Aakriti Lnu · Ganesh Ramakrishnan · Alexandre Evfimievski · Lucian Popa · Rishabh Iyer |