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Neeratyoy Mallik
Neeratyoy Mallik
PhD student, AutoML Freiburg
Verified email at cs.uni-freiburg.de - Homepage
Title
Cited by
Cited by
Year
DEHB: Evolutionary Hyperband for Scalable, Robust and Efficient Hyperparameter Optimization
N Awad, N Mallik, F Hutter
Proceedings of the Thirtieth International Joint Conference on Artificial …, 2021
1092021
Openml-python: an extensible python api for openml
M Feurer, JN Van Rijn, A Kadra, P Gijsbers, N Mallik, S Ravi, A Müller, ...
Journal of Machine Learning Research 22 (100), 1-5, 2021
1042021
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO
K Eggensperger, P Müller, N Mallik, M Feurer, R Sass, A Klein, N Awad, ...
NeurIPS 2021 Track Datasets and Benchmarks, 2021
1022021
Differential Evolution for Neural Architecture Search
N Awad, N Mallik, F Hutter
Proceedings of the 1st workshop on neural architecture search@ICLR '20, 2020
432020
PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning
N Mallik, E Bergman, C Hvarfner, D Stoll, M Janowski, M Lindauer, ...
Thirty-seventh Conference on Neural Information Processing Systems, 2023
192023
Interactive information crowdsourcing for disaster management using SMS and Twitter: A research prototype
A Das, N Mallik, S Bandyopadhyay, SD Bit, J Basak
2016 IEEE International Conference on Pervasive Computing and Communication …, 2016
142016
In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization
H Rakotoarison, S Adriaensen, N Mallik, S Garibov, E Bergman, F Hutter
Forty-first International Conference on Machine Learning, 2024
82024
Squirrel: a switching hyperparameter optimizer
N Awad, G Shala, D Deng, N Mallik, M Feurer, K Eggensperger, ...
arXiv preprint arXiv:2012.08180, 2020
52020
Openml-python: an extensible python api for openml. arXiv, 1911.02490, 2019
M Feurer, JN van Rijn, A Kadra, P Gijsbers, N Mallik, S Ravi, A Mueller, ...
URL https://arxiv. org/pdf/1911.02490. pdf, 2019
52019
PriorBand: HyperBand + Human Expert Knowledge
N Mallik, C Hvarfner, D Stoll, M Janowski, E Bergman, M Lindauer, ...
Sixth Workshop on Meta-Learning at the Conference on Neural Information …, 2022
22022
Warmstarting for Scaling Language Models
N Mallik, M Janowski, J Hog, H Rakotoarison, A Klein, J Grabocka, ...
Adaptive Foundation Models: Evolving AI for Personalized and Efficient …, 2024
2024
LMEMs for post-hoc analysis of HPO Benchmarking
A Geburek, N Mallik, D Stoll, X Bouthillier, F Hutter
AutoML Conference 2024 (Workshop Track), 2024
2024
Fast Benchmarking of Asynchronous Multi-Fidelity Optimization on Zero-Cost Benchmarks
S Watanabe, N Mallik, E Bergman, F Hutter
AutoML Conference 2024 (ABCD Track), 2024
2024
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