Online Learning of Quantum States. - Scott Aaronson; Xinyi Chen 001; Elad Hazan; Satyen Kale; Ashwin Nayak 001 (NeurIPS, 2018)

Online Learning of Quantum States. - Scott Aaronson; Xinyi Chen 001; Elad Hazan; Ashwin Nayak 001 (CoRR, 2018)

The Case for Full-Matrix Adaptive Regularization. - Naman Agarwal; Brian Bullins; Xinyi Chen 001; Elad Hazan; Karan Singh; Cyril Zhang; Yi Zhang 074 (CoRR, 2018)

Efficient Full-Matrix Adaptive Regularization. - Naman Agarwal; Brian Bullins; Xinyi Chen 001; Elad Hazan; Karan Singh; Cyril Zhang; Yi Zhang 074 (ICML, 2019)

Extreme Tensoring for Low-Memory Preconditioning. - Xinyi Chen 001; Naman Agarwal; Elad Hazan; Cyril Zhang; Yi Zhang 074 (ICLR, 2020)

Online Agnostic Boosting via Regret Minimization. - Nataly Brukhim; Xinyi Chen 001; Elad Hazan; Shay Moran (NeurIPS, 2020)

Black-Box Control for Linear Dynamical Systems. - Xinyi Chen 001; Elad Hazan (COLT, 2021)

Machine Learning for Mechanical Ventilation Control. - Daniel Suo; Cyril Zhang; Paula Gradu; Udaya Ghai; Xinyi Chen 001; Edgar Minasyan; Naman Agarwal; Karan Singh; Julienne LaChance; Tom Zajdel; Manuel Schottdorf; Daniel J. Cohen; et al. (CoRR, 2021)

Provable Regret Bounds for Deep Online Learning and Control. - Xinyi Chen 001; Edgar Minasyan; Jason D. Lee; Elad Hazan (CoRR, 2021)

Machine Learning for Mechanical Ventilation Control (Extended Abstract). - Daniel Suo; Cyril Zhang; Paula Gradu; Udaya Ghai; Xinyi Chen 001; Edgar Minasyan; Naman Agarwal; Karan Singh; Julienne LaChance; Tom Zajdel; Manuel Schottdorf; Daniel J. Cohen; et al. (CoRR, 2021)

Robust Online Control with Model Misspecification. - Udaya Ghai; Xinyi Chen 001; Elad Hazan; Alexandre Megretski (L4DC, 2022)

Regret Guarantees for Online Deep Control. - Xinyi Chen 001; Edgar Minasyan; Jason D. Lee; Elad Hazan (L4DC, 2023)

Online Control for Meta-optimization. - Xinyi Chen 001; Elad Hazan (NeurIPS, 2023)

Sketchy: Memory-efficient Adaptive Regularization with Frequent Directions. - Vladimir Feinberg; Xinyi Chen 001; Y. Jennifer Sun; Rohan Anil; Elad Hazan (NeurIPS, 2023)

A Nonstochastic Control Approach to Optimization. - Xinyi Chen 001; Elad Hazan (CoRR, 2023)

AI safety by debate via regret minimization. - Xinyi Chen 001; Angelica Chen; Dean P. Foster; Elad Hazan (CoRR, 2023)

Spectral State Space Models. - Naman Agarwal; Daniel Suo; Xinyi Chen 001; Elad Hazan (CoRR, 2023)

Open Problem: Black-Box Reductions and Adaptive Gradient Methods for Nonconvex Optimization. - Xinyi Chen 001; Elad Hazan (COLT, 2024)

Adaptive Regret for Bandits Made Possible: Two Queries Suffice. - Zhou Lu; Qiuyi Zhang 001; Xinyi Chen 001; Fred Zhang; David P. Woodruff; Elad Hazan (ICLR, 2024)

Preference Learning Algorithms Do Not Learn Preference Rankings. - Angelica Chen; Sadhika Malladi; Lily H. Zhang; Xinyi Chen 001; Qiuyi (Richard) Zhang; Rajesh Ranganath; Kyunghyun Cho (NeurIPS, 2024)

FutureFill: Fast Generation from Convolutional Sequence Models. - Naman Agarwal; Xinyi Chen 001; Evan Dogariu; Vladimir Feinberg; Daniel Suo; Peter L. Bartlett; Elad Hazan (CoRR, 2024)

Provable Length Generalization in Sequence Prediction via Spectral Filtering. - Annie Marsden; Evan Dogariu; Naman Agarwal; Xinyi Chen 001; Daniel Suo; Elad Hazan (CoRR, 2024)

Adaptive Online Learning of Quantum States. - Xinyi Chen 001; Elad Hazan; Tongyang Li; Zhou Lu; Xinzhao Wang; Rui Yang (Quantum, 2024)