Xinyi Chen

Affiliations:
  • Princeton University, Department of Computer Science, NJ, USA


According to our database1, Xinyi Chen authored at least 23 papers between 2018 and 2024.

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Bibliography

2024
Provable Length Generalization in Sequence Prediction via Spectral Filtering.
CoRR, 2024

FutureFill: Fast Generation from Convolutional Sequence Models.
CoRR, 2024

Preference Learning Algorithms Do Not Learn Preference Rankings.
CoRR, 2024

Adaptive Regret for Bandits Made Possible: Two Queries Suffice.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Open Problem: Black-Box Reductions and Adaptive Gradient Methods for Nonconvex Optimization.
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023
Spectral State Space Models.
CoRR, 2023

AI safety by debate via regret minimization.
CoRR, 2023

A Nonstochastic Control Approach to Optimization.
CoRR, 2023

Sketchy: Memory-efficient Adaptive Regularization with Frequent Directions.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Online Control for Meta-optimization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Regret Guarantees for Online Deep Control.
Proceedings of the Learning for Dynamics and Control Conference, 2023

2022
Adaptive Online Learning of Quantum States.
CoRR, 2022

Robust Online Control with Model Misspecification.
Proceedings of the Learning for Dynamics and Control Conference, 2022

2021
Machine Learning for Mechanical Ventilation Control (Extended Abstract).
CoRR, 2021

Provable Regret Bounds for Deep Online Learning and Control.
CoRR, 2021

Machine Learning for Mechanical Ventilation Control.
CoRR, 2021

Black-Box Control for Linear Dynamical Systems.
Proceedings of the Conference on Learning Theory, 2021

2020
Online Agnostic Boosting via Regret Minimization.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Extreme Tensoring for Low-Memory Preconditioning.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Efficient Full-Matrix Adaptive Regularization.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
The Case for Full-Matrix Adaptive Regularization.
CoRR, 2018

Online Learning of Quantum States.
CoRR, 2018

Online Learning of Quantum States.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018


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