| 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 | 128 | 2021 |
| 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 | 44 | 2017 |
| A study on encodings for neural architecture search C White, W Neiswanger, S Nolen, Y Savani Advances in Neural Information Processing Systems 33, 2020 | 37 | 2020 |
| Exploring the loss landscape in neural architecture search C White, S Nolen, Y Savani Uncertainty in Artificial Intelligence, 654-664, 2021 | 35* | 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 | 22 | 2021 |
| Data-Driven Clustering via Parameterized Lloyd's Families MF Balcan, T Dick, C White Advances in Neural Information Processing Systems, 10664-10674, 2018 | 22 | 2018 |
| k-center Clustering under Perturbation Resilience MF Balcan, N Haghtalab, C White ACM Transactions on Algorithms (TALG) 16 (2), 1-39, 2020 | 19* | 2020 |
| -center Clustering under Perturbation Resilience MF Balcan, N Haghtalab, C White International Colloquium on Automata, Languages, and Programming, 2016 | 18* | 2016 |
| Learning Combinatorial Functions from Pairwise Comparisons MF Balcan, E Vitercik, C White Conference on Learning Theory, 310-335, 2016 | 16 | 2016 |
| Intra-processing methods for debiasing neural networks Y Savani, C White, NS Govindarajulu Advances in Neural Information Processing Systems 33, 2798-2810, 2020 | 14 | 2020 |
| Robust Communication-Optimal Distributed Clustering Algorithms P Awasthi, A Bakshi, MF Balcan, C White, D Woodruff International Colloquium on Automata, Languages, and Programming, 2019 | 14* | 2019 |
| Data Driven Resource Allocation for Distributed Learning T Dick, M Li, VK Pillutla, C White, MF Balcan, A Smola Artificial Intelligence and Statistics, 2017 | 13 | 2017 |
| Lower Bounds in the Preprocessing and Query Phases of Routing Algorithms C White European Symposium on Algorithms, 2015 | 11 | 2015 |
| Synthetic benchmarks for scientific research in explainable machine learning Y Liu, S Khandagale, C White, W Neiswanger arXiv preprint arXiv:2106.12543, 2021 | 7 | 2021 |
| 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 | 6 | 2021 |
| Small dynamical heights for quadratic polynomials and rational functions RL Benedetto, R Chen, T Hyde, Y Kovacheva, C White Experimental Mathematics 23 (4), 433-447, 2014 | 6 | 2014 |
| NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy Y Mehta, C White, A Zela, A Krishnakumar, G Zabergja, S Moradian, ... arXiv preprint arXiv:2201.13396, 2022 | 2 | 2022 |
| On the Generalizability and Predictability of Recommender Systems D McElfresh, S Khandagale, J Valverde, JP Dickerson, C White arXiv preprint arXiv:2206.11886, 2022 | | 2022 |
| Speeding up NAS with Adaptive Subset Selection V Prasad, C White, P Jain, S Nayak, RK Iyer, G Ramakrishnan First Conference on Automated Machine Learning (Late-Breaking Workshop), 2022 | | 2022 |
| RecZilla: Algorithm Selection for Recommender Systems JP Dickerson, S Khandagale, DC McElfresh, J Valverde, C White First Conference on Automated Machine Learning (Late-Breaking Workshop), 2022 | | 2022 |
Yash SavaniPh.D. Student, Carnegie Mellon UniversityVerified email at cs.cmu.edu
