Cyril Zhang
Microsoft (United States)(US)Microsoft Research New York City (United States)
Publications by Year
Research Areas
Machine Learning and Algorithms, Topic Modeling, Advanced Bandit Algorithms Research, Natural Language Processing Techniques, Stochastic Gradient Optimization Techniques
Most-Cited Works
- Towards Provable Control for Unknown Linear Dynamical Systems(2018)
- → Phi-4 Technical Report(2024)23 cited
- Efficient Regret Minimization in Non-Convex Games(2017)
- → Spectral Filtering for General Linear Dynamical Systems(2018)19 cited
- → Understanding Contrastive Learning Requires Incorporating Inductive Biases(2022)15 cited
- → Inductive Biases and Variable Creation in Self-Attention Mechanisms(2021)15 cited
- → Calibration, Entropy Rates, and Memory in Language Models(2019)13 cited
- → Efficient Full-Matrix Adaptive Regularization(2018)12 cited
- → Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit(2022)12 cited