Mallik, Neeratyoy

8 publications

AutoML 2025 Frozen Layers: Memory-Efficient Many-Fidelity Hyperparameter Optimization Timur Carstensen, Neeratyoy Mallik, Frank Hutter, Martin Rapp

AutoML 2024 Fast Benchmarking of Asynchronous Multi-Fidelity Optimization on Zero-Cost Benchmarks Shuhei Watanabe, Neeratyoy Mallik, Edward Bergman, Frank Hutter

ICML 2024 In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization Herilalaina Rakotoarison, Steven Adriaensen, Neeratyoy Mallik, Samir Garibov, Eddie Bergman, Frank Hutter

NeurIPSW 2024 Warmstarting for Scaling Language Models Neeratyoy Mallik, Maciej Janowski, Johannes Hog, Herilalaina Rakotoarison, Aaron Klein, Josif Grabocka, Frank Hutter

NeurIPS 2023 PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning Neeratyoy Mallik, Edward Bergman, Carl Hvarfner, Danny Stoll, Maciej Janowski, Marius Lindauer, Luigi Nardi, Frank Hutter

NeurIPSW 2022 PriorBand: HyperBand + Human Expert Knowledge Neeratyoy Mallik, Carl Hvarfner, Danny Stoll, Maciej Janowski, Eddie Bergman, Marius Lindauer, Luigi Nardi, Frank Hutter

IJCAI 2021 DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization Noor H. Awad, Neeratyoy Mallik, Frank Hutter

MLOSS 2021 OpenML-Python: An Extensible Python API for OpenML Matthias Feurer, Jan N. van Rijn, Arlind Kadra, Pieter Gijsbers, Neeratyoy Mallik, Sahithya Ravi, Andreas Müller, Joaquin Vanschoren, Frank Hutter