Neeratyoy Mallik

20 papers A* 3Journal 13Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Frozen Layers: Memory-efficient Many-fidelity Hyperparameter Optimization. AutoML Timur Carstensen, Neeratyoy Mallik, Frank Hutter, Martin Rapp
2025	J	`jnl`	Frozen Layers: Memory-efficient Many-fidelity Hyperparameter Optimization. CoRR Timur Carstensen, Neeratyoy Mallik, Frank Hutter, Martin Rapp
2025	J	`jnl`	carps: A Framework for Comparing N Hyperparameter Optimizers on M Benchmarks. CoRR Carolin Benjamins, Helena Graf, Sarah Segel, Difan Deng, Tim Ruhkopf, Leona Hennig, Soham Basu, Neeratyoy Mallik, Edward Bergman, Deyao Chen, François Clément, Matthias Feurer, Katharina Eggensperger, Frank Hutter, Carola Doerr, Marius Lindauer
2024	—	`conf`	Fast Benchmarking of Asynchronous Multi-Fidelity Optimization on Zero-Cost Benchmarks. AutoML Shuhei Watanabe, Neeratyoy Mallik, Edward Bergman, Frank Hutter
2024	J	`jnl`	Fast Benchmarking of Asynchronous Multi-Fidelity Optimization on Zero-Cost Benchmarks. CoRR Shuhei Watanabe, Neeratyoy Mallik, Edward Bergman, Frank Hutter
2024	A*	`conf`	In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization. ICML Herilalaina Rakotoarison, Steven Adriaensen, Neeratyoy Mallik, Samir Garibov, Eddie Bergman, Frank Hutter
2024	J	`jnl`	In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization. CoRR Herilalaina Rakotoarison, Steven Adriaensen, Neeratyoy Mallik, Samir Garibov, Edward Bergman, Frank Hutter
2024	J	`jnl`	LMEMs for post-hoc analysis of HPO Benchmarking. CoRR Anton Geburek, Neeratyoy Mallik, Danny Stoll, Xavier Bouthillier, Frank Hutter
2024	J	`jnl`	Warmstarting for Scaling Language Models. CoRR Neeratyoy Mallik, Maciej Janowski, Johannes Hog, Herilalaina Rakotoarison, Aaron Klein, Josif Grabocka, Frank Hutter
2023	A*	`conf`	PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning. NeurIPS Neeratyoy Mallik, Edward Bergman, Carl Hvarfner, Danny Stoll, Maciej Janowski, Marius Lindauer, Luigi Nardi, Frank Hutter
2023	J	`jnl`	PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning. CoRR Neeratyoy Mallik, Edward Bergman, Carl Hvarfner, Danny Stoll, Maciej Janowski, Marius Lindauer, Luigi Nardi, Frank Hutter
2021	A*	`conf`	DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization. IJCAI Noor H. Awad, Neeratyoy Mallik, Frank Hutter
2021	J	`jnl`	DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization. CoRR Noor H. Awad, Neeratyoy Mallik, Frank Hutter
2021	—	`conf`	HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO. NeurIPS Datasets and Benchmarks Katharina Eggensperger, Philipp Müller, Neeratyoy Mallik, Matthias Feurer, René Sass, Aaron Klein, Noor H. Awad, Marius Lindauer, Frank Hutter
2021	J	`jnl`	HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO. CoRR Katharina Eggensperger, Philipp Müller, Neeratyoy Mallik, Matthias Feurer, René Sass, Aaron Klein, Noor H. Awad, Marius Lindauer, Frank Hutter
2021	J	`jnl`	OpenML-Python: an extensible Python API for OpenML. J. Mach. Learn. Res. Matthias Feurer, Jan N. van Rijn, Arlind Kadra, Pieter Gijsbers, Neeratyoy Mallik, Sahithya Ravi, Andreas Müller, Joaquin Vanschoren, Frank Hutter
2020	J	`jnl`	Differential Evolution for Neural Architecture Search. CoRR Noor H. Awad, Neeratyoy Mallik, Frank Hutter
2020	J	`jnl`	Squirrel: A Switching Hyperparameter Optimizer. CoRR Noor H. Awad, Gresa Shala, Difan Deng, Neeratyoy Mallik, Matthias Feurer, Katharina Eggensperger, André Biedenkapp, Diederick Vermetten, Hao Wang, Carola Doerr, Marius Lindauer, Frank Hutter
2019	J	`jnl`	OpenML-Python: an extensible Python API for OpenML. CoRR Matthias Feurer, Jan N. van Rijn, Arlind Kadra, Pieter Gijsbers, Neeratyoy Mallik, Sahithya Ravi, Andreas Müller, Joaquin Vanschoren, Frank Hutter
2016	—	`conf`	Interactive information crowdsourcing for disaster management using SMS and Twitter: A research prototype. PerCom Workshops Anubrata Das, Neeratyoy Mallik, Somprakash Bandyopadhyay, Sipra Das Bit, Jayanta Basak