| Bananas: Bayesian optimization with neural architectures for neural architecture search C White, W Neiswanger, Y Savani Proceedings of the AAAI Conference on Artificial Intelligence 35, 2021 | 320 | 2021 |
| How powerful are performance predictors in neural architecture search? C White, A Zela, R Ru, Y Liu, F Hutter Advances in Neural Information Processing Systems 34, 28454-28469, 2021 | 123 | 2021 |
| Exploring the loss landscape in neural architecture search C White, S Nolen, Y Savani Uncertainty in Artificial Intelligence, 654-664, 2021 | 76* | 2021 |
| A study on encodings for neural architecture search C White, W Neiswanger, S Nolen, Y Savani Advances in Neural Information Processing Systems 33, 2020 | 75 | 2020 |
| Neural architecture search: Insights from 1000 papers C White, M Safari, R Sukthanker, B Ru, T Elsken, A Zela, D Dey, F Hutter arXiv preprint arXiv:2301.08727, 2023 | 62 | 2023 |
| Learning-Theoretic Foundations of Algorithm Configuration for Combinatorial Partitioning Problems MF Balcan, V Nagarajan, E Vitercik, C White Conference on Learning Theory, 213-274, 2017 | 61 | 2017 |
| Synthetic benchmarks for scientific research in explainable machine learning Y Liu, S Khandagale, C White, W Neiswanger Advances in Neural Information Processing Systems Datasets and Benchmarks Track, 2021 | 56 | 2021 |
| Intra-processing methods for debiasing neural networks Y Savani, C White, NS Govindarajulu Advances in neural information processing systems 33, 2798-2810, 2020 | 48 | 2020 |
| When do neural nets outperform boosted trees on tabular data? D McElfresh, S Khandagale, J Valverde, V Prasad C, G Ramakrishnan, ... Advances in Neural Information Processing Systems 36, 2024 | 42 | 2024 |
| NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy Y Mehta, C White, A Zela, A Krishnakumar, G Zabergja, S Moradian, ... International Conference on Learning Representations, 2022 | 42 | 2022 |
| Nas-bench-suite-zero: Accelerating research on zero cost proxies A Krishnakumar, C White, A Zela, R Tu, M Safari, F Hutter Advances in Neural Information Processing Systems 35, 28037-28051, 2022 | 32 | 2022 |
| Data-Driven Clustering via Parameterized Lloyd's Families MF Balcan, T Dick, C White Advances in Neural Information Processing Systems, 10664-10674, 2018 | 29 | 2018 |
| Nas-bench-x11 and the power of learning curves S Yan, C White, Y Savani, F Hutter Advances in Neural Information Processing Systems 34, 22534-22549, 2021 | 27 | 2021 |
| A Deeper Look at Zero-Cost Proxies for Lightweight NAS C White, M Khodak, R Tu, S Shah, S Bubeck, D Dey ICLR Blog Track, 2022 | 26 | 2022 |
| Forecastpfn: Synthetically-trained zero-shot forecasting S Dooley, GS Khurana, C Mohapatra, SV Naidu, C White Advances in Neural Information Processing Systems 36, 2024 | 24 | 2024 |
| -center Clustering under Perturbation Resilience MF Balcan, N Haghtalab, C White International Colloquium on Automata, Languages, and Programming, 2016 | 24* | 2016 |
| k-center Clustering under Perturbation Resilience MF Balcan, N Haghtalab, C White ACM Transactions on Algorithms (TALG) 16 (2), 1-39, 2020 | 23* | 2020 |
| Learning Combinatorial Functions from Pairwise Comparisons MF Balcan, E Vitercik, C White Conference on Learning Theory, 310-335, 2016 | 20 | 2016 |
| Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive A Pal, D Karkhanis, S Dooley, M Roberts, S Naidu, C White arXiv preprint arXiv:2402.13228, 2024 | 19 | 2024 |
| Rethinking bias mitigation: Fairer architectures make for fairer face recognition S Dooley, R Sukthanker, J Dickerson, C White, F Hutter, M Goldblum Advances in Neural Information Processing Systems 36, 2024 | 17* | 2024 |
Yash SavaniPh.D. Student, Carnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
