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Our NeurIPS 2023 Publications

Main Track

Hvarfner, Carl; Hellsten, Erik Orm; Hutter, Frank; Nardi, Luigi

Self-Correcting Bayesian Optimization through Bayesian Active Learning Inproceedings

In: Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023.

Dooley*, Samuel; Sukthanker*, Rhea Sanjay; Dickerson, John P; White, Colin; Hutter, Frank; Goldblum, Micah

Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition Inproceedings

In: Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023, (Oral Paper - top 2% of accepted papers).

Schrodi, Simon; Stoll, Danny; Ru, Binxin; Sukthanker, Rhea Sanjay; Brox, Thomas; Hutter, Frank

Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars Inproceedings

In: Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023.

Mallik, Neeratyoy; Bergman, Eddie; Hvarfner, Carl; Stoll, Danny; Janowski, Maciej; Lindauer, Marius; Nardi, Luigi; Hutter, Frank

PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning Inproceedings

In: Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023.

Adriaensen, Steven; Rakotoarison, Herilalaina; Müller, Samuel; Hutter, Frank

Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks Inproceedings

In: Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023.

Hollmann, Noah; Müller, Samuel; Hutter, Frank

Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering Inproceedings

In: Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023.

Workshops

Runge, Frederic; Franke, Jörg K. H.; Fertmann, Daniel; Hutter, Frank

Rethinking Performance Measures of RNA Secondary Structure Problems Workshop

Machine Learning for Structural Biology Workshop, (NeruIPS 2023), 2023.

Franke, Jörg K. H.; Hefenbrock, Michael; Koehler, Gregor; Hutter, Frank

New Horizons in Parameter Regularization: A Constraint Approach Inproceedings

In: OPT2023: 15th Annual Workshop on Optimization for Machine Learning, (NeurIPS 2023), 2023.