Author

Yi Su

Google - Cited by 274 - Machine Learning - Bandits - Recommender Systems

Biography

Yi Su recently obtained  PhD in Statistics from Cornell University, advised by Professor Thorsten Joachims. The Department of Microbiology offers academic and research programs of study leading to the award of BSc, M.Sc. and Ph.D. degrees suitable for a career in Microbiology. He is serving as an editorial member and reviewer of several international reputed journals.
Title
Cited by
Year
Doubly robust off-policy evaluation with shrinkage
Y Su, M Dimakopoulou, A Krishnamurthy, M DudíkInternational Conference on Machine Learning, 2020, 2019201
66
2019
Cab: Continuous adaptive blending for policy evaluation and learning
Y Su, L Wang, M Santacatterina, T JoachimsInternational Conference on Machine Learning, 05-14, 2019201
60
2019
Off-policy bandits with deficient support
N Sachdeva, Y Su, T JoachimsProceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020202
48
2020
Adaptive Estimator Selection for Off-Policy Evaluation
Y Su, P Srinath, A KrishnamurthyInternational Conference on Machine Learning, 2020, 2020202
25
2020
Offline rl for natural language generation with implicit language q learning
C Snell, I Kostrikov, Y Su, M Yang, S LevinearXiv preprint arXiv:2206.11871, 2022202
19
2022
Online adaptation to label distribution shift
R Wu, C Guo, Y Su, KQ WeinbergerAdvances in Neural Information Processing Systems 34, 11340-11351, 2021202
19
2021
Optimizing Rankings for Recommendation in Matching Markets
Y Su, M Bayoumi, T JoachimsProceedings of the ACM Web Conference 2022, 328-338, 2022202
11
2022
Recommendations as treatments
T Joachims, B London, Y Su, A Swaminathan, L WangAI Magazine 42 (3), 19-30, 2021202
11
2021
Context-Aware Language Modeling for Goal-Oriented Dialogue Systems
C Snell, S Yang, J Fu, Y Su, S LevineNAACL, 2022, 2022202
8
2022
Learning from logged bandit feedback of multiple loggers
Y Su, A Agarwal, T JoachimsICML Workshop on Machine Learning for Causal Inference, Counterfactual …, 2018201
3
2018
Data-driven offline decision-making via invariant representation learning
H Qi, Y Su, A Kumar, S LevineAdvances in Neural Information Processing Systems 35, 136-1337, 0
2
2022
System for effective use of data for personalization
M Dudik, A Krishnamurthy, M Dimakopoulou, Y SuUS Patent App. 16/657,533, 000
2
2020

Referred From: https://scholar.google.com/citations?user=-QopmQoAAAAJ&hl=en

Cited by
Citations 274
h-index 8
i10-index 8
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