Search All 2022 Events
 

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Workshop
c-TPE: Generalizing Tree-structured Parzen Estimator with Inequality Constraints for Continuous and Categorical Hyperparameter Optimization
Shuhei Watanabe · Frank Hutter
Poster
Thu 9:00 DivBO: Diversity-aware CASH for Ensemble Learning
Yu Shen · Yupeng Lu · Yang Li · Yaofeng Tu · Wentao Zhang · Bin CUI
Poster
Thu 14:00 Supervising the Multi-Fidelity Race of Hyperparameter Configurations
Martin Wistuba · Arlind Kadra · Josif Grabocka
Workshop
PyHopper - A Plug-and-Play Hyperparameter Optimization Engine
Mathias Lechner · Ramin Hasani · Sophie Neubauer · Philipp Neubauer · Daniela Rus
Poster
Thu 9:00 Sparse Gaussian Process Hyperparameters: Optimize or Integrate?
Vidhi Lalchand · Wessel Bruinsma · David Burt · Carl Edward Rasmussen
Workshop
Faster Hyperparameter Search on Graphs via Calibrated Dataset Condensation
Mucong Ding · Xiaoyu Liu · Tahseen Rabbani · Furong Huang
Workshop
Scalable Gaussian Process Hyperparameter Optimization via Coverage Regularization
Killian Wood · Alec Dunton · Amanda Muyskens · Benjamin Priest
Poster
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
Poster
Thu 9:00 Joint Entropy Search For Maximally-Informed Bayesian Optimization
Carl Hvarfner · Frank Hutter · Luigi Nardi
Poster
Wed 14:00 Gradient Descent: The Ultimate Optimizer
Kartik Chandra · Audrey Xie · Jonathan Ragan-Kelley · ERIK MEIJER
Workshop
Multi-step Planning for Automated Hyperparameter Optimization with OptFormer
Lucio M Dery · Abram Friesen · Nando de Freitas · Marc'Aurelio Ranzato · Yutian Chen
Poster
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