Zhou Fan

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 37

Top Topics

Gaussian Process

Top Venues

Found. Comput. Math.

Publications

Zhou Fan, Xinran Han, Zi Wang
Transfer Learning for Bayesian Optimization on Heterogeneous Search Spaces. Trans. Mach. Learn. Res. 2024 (2024)
Zhichao Wang, Denny Wu, Zhou Fan
Nonlinear spiked covariance matrices and signal propagation in deep neural networks. CoRR (2024)
Zhichao Wang, Denny Wu, Zhou Fan
Nonlinear spiked covariance matrices and signal propagation in deep neural networks. COLT (2024)
Yufan Li, Zhou Fan, Subhabrata Sen, Yihong Wu
Random Linear Estimation With Rotationally-Invariant Designs: Asymptotics at High Temperature. IEEE Trans. Inf. Theory 70 (3) (2024)
Michael J. Curry, Zhou Fan, David C. Parkes
Optimal Automated Market Makers: Differentiable Economics and Strong Duality. CoRR (2024)
Kaylee Y. Yang, Timothy L. H. Wee, Zhou Fan
Asymptotic mutual information in quadratic estimation problems over compact groups. CoRR (2024)
Zhou Fan, Francisco J. Marmolejo Cossío, Daniel J. Moroz, Michael Neuder, Rithvik Rao, David C. Parkes
Strategic Liquidity Provision in Uniswap V3. AFT (2023)
Michael Celentano, Zhou Fan, Licong Lin, Song Mei
Mean-field variational inference with the TAP free energy: Geometric and statistical properties in linear models. CoRR (2023)
Yufan Li, Zhou Fan, Subhabrata Sen, Yihong Wu
Random linear estimation with rotationally-invariant designs: Asymptotics at high temperature. ISIT (2023)
Zhou Fan, Xinran Han, Zi Wang
Transfer Learning for Bayesian Optimization on Heterogeneous Search Spaces. CoRR (2023)
Zhou Fan, Cheng Mao, Yihong Wu, Jiaming Xu
Spectral Graph Matching and Regularized Quadratic Relaxations II. Found. Comput. Math. 23 (5) (2023)
Zhou Fan, Cheng Mao, Yihong Wu, Jiaming Xu
Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis. Found. Comput. Math. 23 (5) (2023)
Zhou Fan, Xinran Han, Zi Wang
HyperBO+: Pre-training a universal prior for Bayesian optimization with hierarchical Gaussian processes. CoRR (2022)
Yufan Li, Zhou Fan, Subhabrata Sen, Yihong Wu
Random linear estimation with rotationally-invariant designs: Asymptotics at high temperature. CoRR (2022)
Tianhao Wang, Xinyi Zhong, Zhou Fan
Universality of Approximate Message Passing algorithms and tensor networks. CoRR (2022)
Zhou Fan, Francisco J. Marmolejo Cossío, Ben Altschuler, He Sun, Xintong Wang, David C. Parkes
Differential Liquidity Provision in Uniswap v3 and Implications for Contract Design. CoRR (2022)
Zhou Fan, Francisco J. Marmolejo Cossío, Ben Altschuler, He Sun, Xintong Wang, David C. Parkes
Differential Liquidity Provision in Uniswap v3 and Implications for Contract Design✱. ICAIF (2022)
Zhou Fan, Yihong Wu
The replica-symmetric free energy for Ising spin glasses with orthogonally invariant couplings. CoRR (2021)
Michael Celentano, Zhou Fan, Song Mei
Local convexity of the TAP free energy and AMP convergence for Z2-synchronization. CoRR (2021)
Zhou Fan, Roy R. Lederman, Yi Sun, Tianhao Wang, Sheng Xu
Maximum likelihood for high-noise group orbit estimation and single-particle cryo-EM. CoRR (2021)
Zhou Fan, Zhichao Wang
Spectra of the Conjugate Kernel and Neural Tangent Kernel for linear-width neural networks. NeurIPS (2020)
Zhou Fan, Zhichao Wang
Spectra of the Conjugate Kernel and Neural Tangent Kernel for linear-width neural networks. CoRR (2020)
Sheng Xu, Zhou Fan, Sahand Negahban
Tree-projected gradient descent for estimating gradient-sparse parameters on graphs. COLT (2020)
Sheng Xu, Zhou Fan, Sahand Negahban
Tree-Projected Gradient Descent for Estimating Gradient-Sparse Parameters on Graphs. CoRR (2020)
Zhou Fan
Approximate Message Passing algorithms for rotationally invariant matrices. CoRR (2020)
Zhou Fan, Cheng Mao, Yihong Wu, Jiaming Xu
Spectral Graph Matching and Regularized Quadratic Relaxations: Algorithm and Theory. ICML (2020)
Zhou Fan, Rui Su, Weinan Zhang, Yong Yu
Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space. IJCAI (2019)
Zhou Fan, Rui Su, Weinan Zhang, Yong Yu
Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space. CoRR (2019)
Zhou Fan, Cheng Mao, Yihong Wu, Jiaming Xu
Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality. CoRR (2019)
Ganlin Song, Zhou Fan, John Lafferty
Surfing: Iterative Optimization Over Incrementally Trained Deep Networks. NeurIPS (2019)
Dingkun Yang, Weigen Chen, Weiran Zhou, Jingxin Zou, Zhou Fan
Recognition of Aging Stage of Oil-Paper Insulation Based on Surface Enhanced Raman Scattering and Kernel Entropy Component Analysis. IEEE Access 7 (2019)
Zhou Fan, Cheng Mao, Yihong Wu, Jiaming Xu
Spectral Graph Matching and Regularized Quadratic Relaxations I: The Gaussian Model. CoRR (2019)
Ganlin Song, Zhou Fan, John Lafferty
Surfing: Iterative optimization over incrementally trained deep networks. CoRR (2019)
Sheng Xu, Zhou Fan
Iterative Alpha Expansion for estimating gradient-sparse signals from linear measurements. CoRR (2019)
Feng Chuan, Sui Tao, Zhou Fan
Analysis on an Improved Pseudo-Code Periodic Estimation Method for DSSS Signals. ICIIP (2017)
Zhou Fan, Andrea Montanari
How well do local algorithms solve semidefinite programs? STOC (2017)
Zhou Fan, Andrea Montanari
How Well Do Local Algorithms Solve Semidefinite Programs? CoRR (2016)
Kai-qing Zhou, Xiao-bo Yue, Xiao-hai Pan, Ming Tang, Zhou Fan
Layering and Enveloping: Simplified Algorithm with Balancing Loop Fuzzy Petri Net. ACFIE (2010)