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Our NeurIPS 2022 Publications

Main Track

Franke, Jörg; Runge, Frederic; Hutter, Frank

Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design Inproceedings

In: Oh, Alice H.; Agarwal, Alekh; Belgrave, Danielle; Cho, Kyunghyun (Ed.): Advances in Neural Information Processing Systems (NeurIPS 2022), 2022.

Hvarfner, Carl; Hutter, Frank; Nardi, Luigi

Joint Entropy Search For Maximally-Informed Bayesian Optimization Inproceedings

In: Oh, Alice H.; Agarwal, Alekh; Belgrave, Danielle; Cho, Kyunghyun (Ed.): Advances in Neural Information Processing Systems (NeurIPS 2022), 2022.

Datasets and Benchmarks Track

Bansal, Archit; Stoll, Danny; Janowski, Maciej; Zela, Arber; Hutter, Frank

JAHS-Bench-201: A Foundation For Research On Joint Architecture And Hyperparameter Search Inproceedings

In: Neural Information Processing Systems Track on Datasets and Benchmarks, 2022.

Krishnakumar, Arjun; White, Colin; Zela, Arber; Tu, Renbo; Safari, Mahmoud; Hutter, Frank

NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies Inproceedings

In: Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track, 2022.

Workshops

Shala, Gresa; Arango, Sebastian Pineda; Biedenkapp, André; Hutter, Frank; Grabocka, Josif

AutoRL-Bench 1.0 Inproceedings

In: Workshop on Meta-Learning (MetaLearn@NeurIPS'22), 2022.

Shala, Gresa; Biedenkapp, André; Hutter, Frank; Grabocka, Josif

Gray-Box Gaussian Processes for Automated Reinforcement Learning Inproceedings

In: Workshop on Meta-Learning (MetaLearn@NeurIPS'22), 2022.

Hollmann, Noah; Müller, Samuel; Eggensperger, Katharina; Hutter, Frank

TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second Inproceedings

In: NeurIPS 2022 First Table Representation Workshop, 2022.

Müller, Samuel; Arango, Sebastian Pineda; Feurer, Matthias; Grabocka, Josif; Hutter, Frank

Bayesian Optimization with a Neural Network Meta-learned on Synthetic Data Only Workshop

Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems, 2022.

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

Towards Discovering Neural Architectures from Scratch Inproceedings

In: Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems, 2022.

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

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

In: Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems, 2022.

Sukthanker, Rhea Sanjay; Krishnakumar, Arjun; Patil, Sharat; Hutter, Frank

GraViT-E: Gradient-based Vision Transformer Search with Entangled Weights Inproceedings

In: Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems, 2022.

Watanabe, Shuhei; Awad, Noor; Onishi, Masaki; Hutter, Frank

Multi-objective Tree-structured Parzen Estimator Meets Meta-learning Inproceedings

In: Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems, 2022.

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

PriorBand: HyperBand + Human Expert Knowledge Inproceedings

In: Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems, 2022.

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

On the Importance of Architectures and Hyperparameters for Fairness in Face Recognition Inproceedings

In: Workshop on Trustworthy and Socially Responsible Machine Learning, NeurIPS 2022, 2022.

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

On the Importance of Architectures and Hyperparameters for Fairness in Face Recognition Inproceedings

In: Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems, 2022.

Shala, Gresa; Elsken, Thomas; Hutter, Frank; Grabocka, Josif

Transfer NAS with Meta-learned Bayesian Surrogates Inproceedings

In: Sixth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems, 2022.

Watanabe, Shuhei; Hutter, Frank

c-TPE: Generalizing Tree-structured Parzen Estimator with Inequality Constraints for Continuous and Categorical Hyperparameter Optimization Inproceedings

In: NeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems, 2022.