Zhou Fan

According to our database1, Zhou Fan authored at least 27 papers between 2010 and 2024.

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Bibliography

2024
Random Linear Estimation With Rotationally-Invariant Designs: Asymptotics at High Temperature.
IEEE Trans. Inf. Theory, 2024

Nonlinear spiked covariance matrices and signal propagation in deep neural networks.
CoRR, 2024

Optimal Automated Market Makers: Differentiable Economics and Strong Duality.
CoRR, 2024

2023
Spectral Graph Matching and Regularized Quadratic Relaxations II.
Found. Comput. Math., October, 2023

Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.
Found. Comput. Math., October, 2023

Mean-field variational inference with the TAP free energy: Geometric and statistical properties in linear models.
CoRR, 2023

Transfer Learning for Bayesian Optimization on Heterogeneous Search Spaces.
CoRR, 2023

Strategic Liquidity Provision in Uniswap V3.
Proceedings of the 5th Conference on Advances in Financial Technologies, 2023

2022
HyperBO+: Pre-training a universal prior for Bayesian optimization with hierarchical Gaussian processes.
CoRR, 2022

Universality of Approximate Message Passing algorithms and tensor networks.
CoRR, 2022

Differential Liquidity Provision in Uniswap v3 and Implications for Contract Design✱.
Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

2021
Maximum likelihood for high-noise group orbit estimation and single-particle cryo-EM.
CoRR, 2021

Local convexity of the TAP free energy and AMP convergence for Z2-synchronization.
CoRR, 2021

The replica-symmetric free energy for Ising spin glasses with orthogonally invariant couplings.
CoRR, 2021

2020
Approximate Message Passing algorithms for rotationally invariant matrices.
CoRR, 2020

Spectra of the Conjugate Kernel and Neural Tangent Kernel for linear-width neural networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Spectral Graph Matching and Regularized Quadratic Relaxations: Algorithm and Theory.
Proceedings of the 37th International Conference on Machine Learning, 2020

Tree-projected gradient descent for estimating gradient-sparse parameters on graphs.
Proceedings of the Conference on Learning Theory, 2020

2019
Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.
CoRR, 2019

Spectral Graph Matching and Regularized Quadratic Relaxations I: The Gaussian Model.
CoRR, 2019

Iterative Alpha Expansion for estimating gradient-sparse signals from linear measurements.
CoRR, 2019

Recognition of Aging Stage of Oil-Paper Insulation Based on Surface Enhanced Raman Scattering and Kernel Entropy Component Analysis.
IEEE Access, 2019

Surfing: Iterative Optimization Over Incrementally Trained Deep Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2017
How well do local algorithms solve semidefinite programs?
Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing, 2017

Analysis on an Improved Pseudo-Code Periodic Estimation Method for DSSS Signals.
Proceedings of the 2nd International Conference on Intelligent Information Processing, 2017

2010
Layering and Enveloping: Simplified Algorithm with Balancing Loop Fuzzy Petri Net.
Proceedings of the Fuzzy Information and Engineering 2010, 2010


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