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Yi Ding
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Cited by
Year
Generative and multi-phase learning for computer systems optimization
Y Ding, N Mishra, H Hoffmann
Proceedings of the 46th International Symposium on Computer Architecture, 39-52, 2019
572019
An adaptive gradient method for online auc maximization
Y Ding, P Zhao, S Hoi, YS Ong
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
492015
A polynomial-time algorithm for learning nonparametric causal graphs
M Gao, Y Ding, B Aragam
Advances in Neural Information Processing Systems 33, 11599-11611, 2020
342020
Multiresolution kernel approximation for Gaussian process regression
Y Ding, R Kondor, J Eskreis-Winkler
Advances in Neural Information Processing Systems 30, 2017
272017
Large scale kernel methods for online auc maximization
Y Ding, C Liu, P Zhao, SCH Hoi
2017 IEEE International Conference on Data Mining (ICDM), 91-100, 2017
262017
Cafqa: A classical simulation bootstrap for variational quantum algorithms
GS Ravi, P Gokhale, Y Ding, W Kirby, K Smith, JM Baker, PJ Love, ...
Proceedings of the 28th ACM International Conference on Architectural …, 2022
232022
Generalizable and interpretable learning for configuration extrapolation
Y Ding, A Pervaiz, M Carbin, H Hoffmann
Proceedings of the 29th ACM joint meeting on European software engineering …, 2021
222021
Neighborhood street activity and greenspace usage uniquely contribute to predicting crime
KE Schertz, J Saxon, C Cardenas-Iniguez, LMA Bettencourt, Y Ding, ...
Npj Urban Sustainability 1 (1), 19, 2021
192021
Minimax designs for causal effects in temporal experiments with treatment habituation
GW Basse, Y Ding, P Toulis
Biometrika 110 (1), 155-168, 2023
142023
Minimax crossover designs
G Basse, Y Ding, P Toulis
arXiv preprint arXiv:1908.03531, 2019
82019
Adaptive subgradient methods for online AUC maximization
Y Ding, P Zhao, SCH Hoi, YS Ong
arXiv preprint arXiv:1602.00351, 2016
72016
NURD: Negative-Unlabeled Learning for Online Datacenter Straggler Prediction
Y Ding, A Rao, H Song, R Willett, HH Hoffmann
Proceedings of Machine Learning and Systems 4, 190-203, 2022
52022
Learning relative similarity by stochastic dual coordinate ascent
P Wu, Y Ding, P Zhao, C Miao, S Hoi
Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014
52014
Cello: Efficient computer systems optimization with predictive early termination and censored regression
Y Ding, A Renda, A Pervaiz, M Carbin, H Hoffmann
arXiv preprint arXiv:2204.04831, 2022
42022
CAFQA: Clifford Ansatz For Quantum Accuracy
GS Ravi, P Gokhale
ArXivorg, 2022
42022
Programming with neural surrogates of programs
A Renda, Y Ding, M Carbin
Proceedings of the 2021 ACM SIGPLAN International Symposium on New Ideas …, 2021
42021
Dynamical systems theory for causal inference with application to synthetic control methods
Y Ding, P Toulis
International Conference on Artificial Intelligence and Statistics, 1888-1898, 2020
42020
Bayesian learning for hardware and software configuration co-optimization
Y Ding, A Pervaiz, S Krishnan, H Hoffmann
University of Chicago, Tech. Rep 13, 2020
42020
Scope: Safe exploration for dynamic computer systems optimization
H Kim, A Pervaiz, H Hoffmann, M Carbin, Y Ding
arXiv preprint arXiv:2204.10451, 2022
12022
Turaco: Complexity-Guided Data Sampling for Training Neural Surrogates of Programs
A Renda, Y Ding, M Carbin
Proceedings of the ACM on Programming Languages 7 (OOPSLA2), 1648-1676, 2023
2023
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