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Regularization is all you Need: Simple Neural Nets can Excel on Tabular Data

, , , and . Proceedings of the international conference on Neural Information Processing Systems (NeurIPS), (December 2021)

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Warmstarting of Model-based Algorithm Configuration., and . CoRR, (2017)Simple and efficient architecture search for Convolutional Neural Networks., , and . ICLR (Workshop), OpenReview.net, (2018)NAS-Bench-101: Towards Reproducible Neural Architecture Search., , , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 7105-7114. PMLR, (2019)Transferring Optimality Across Data Distributions via Homotopy Methods, , , , and . International Conference on Learning Representations, (2020)NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search., , and . ICLR, OpenReview.net, (2020)New Horizons in Parameter Regularization: A Constraint Approach., , , and . CoRR, (2023)Meta-Learning a Real-Time Tabular AutoML Method For Small Data., , , and . CoRR, (2022)Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks., , , and . CoRR, (2023)Automated Reinforcement Learning (AutoRL): A Survey and Open Problems, , , , , , , , , and 2 other author(s). Journal of Artificial Intelligence Research 74 (2022), (2022)An Evolution Strategy with Progressive Episode Lengths for Playing Games., , , and . IJCAI, page 1234-1240. ijcai.org, (2019)