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2020 – today
- 2024
[j94]Xun Tang
, Lexing Ying:
Solving high-dimensional Fokker-Planck equation with functional hierarchical tensor. J. Comput. Phys. 511: 113110 (2024)- [j93]Haoya Li, Hsiang-Fu Yu, Lexing Ying, Inderjit S. Dhillon:
Accelerating Primal-Dual Methods for Regularized Markov Decision Processes. SIAM J. Optim. 34(1): 764-789 (2024) - [c26]Yinuo Ren, Yiping Lu, Lexing Ying, Grant M. Rotskoff:
Statistical Spatially Inhomogeneous Diffusion Inference. AAAI 2024: 14820-14828 - [c25]Yinuo Ren, Tesi Xiao, Tanmay Gangwani, Anshuka Rangi, Holakou Rahmanian, Lexing Ying, Subhajit Sanyal:
Multi-objective Optimization via Wasserstein-Fisher-Rao Gradient Flow. AISTATS 2024: 3862-3870 - [c24]Yinuo Ren, Chao Ma, Lexing Ying:
Understanding the Generalization Benefits of Late Learning Rate Decay. AISTATS 2024: 4465-4473 - [c23]Xun Tang, Michael Shavlovsky, Holakou Rahmanian, Elisa Tardini, Kiran Koshy Thekumparampil, Tesi Xiao, Lexing Ying:
Accelerating Sinkhorn algorithm with sparse Newton iterations. ICLR 2024 - [c22]Kaizhao Liu, José H. Blanchet, Lexing Ying, Yiping Lu:
Orthogonal Bootstrap: Efficient Simulation of Input Uncertainty. ICML 2024 - [i95]Yinuo Ren, Chao Ma, Lexing Ying:
Understanding the Generalization Benefits of Late Learning Rate Decay. CoRR abs/2401.11600 (2024) - [i94]Xun Tang, Michael Shavlovsky, Holakou Rahmanian, Elisa Tardini, Kiran Koshy Thekumparampil, Tesi Xiao, Lexing Ying:
Accelerating Sinkhorn Algorithm with Sparse Newton Iterations. CoRR abs/2401.12253 (2024) - [i93]Haoxuan Chen, Lexing Ying:
Ensemble-Based Annealed Importance Sampling. CoRR abs/2401.15645 (2024) - [i92]Hongrui Chen, Lexing Ying:
Convergence Analysis of Discrete Diffusion Model: Exact Implementation through Uniformization. CoRR abs/2402.08095 (2024) - [i91]Alice Cortinovis, Lexing Ying:
A sublinear-time randomized algorithm for column and row subset selection based on strong rank-revealing QR factorizations. CoRR abs/2402.13975 (2024) - [i90]Lexing Ying:
Multidimensional unstructured sparse recovery via eigenmatrix. CoRR abs/2402.17215 (2024) - [i89]Xun Tang, Holakou Rahmanian, Michael Shavlovsky, Kiran Koshy Thekumparampil, Tesi Xiao, Lexing Ying:
A Sinkhorn-type Algorithm for Constrained Optimal Transport. CoRR abs/2403.05054 (2024) - [i88]Xun Tang, Leah Collis, Lexing Ying:
Solving high-dimensional Kolmogorov backward equations with functional hierarchical tensor operators. CoRR abs/2404.08823 (2024) - [i87]Kaizhao Liu, Jose H. Blanchet, Lexing Ying, Yiping Lu:
Orthogonal Bootstrap: Efficient Simulation of Input Uncertainty. CoRR abs/2404.19145 (2024) - [i86]Lexing Ying:
A perturbative analysis for noisy spectral estimation. CoRR abs/2405.00803 (2024) - [i85]Hongkang Ni, Lexing Ying:
Quantum wave packet transforms with compact frequency support. CoRR abs/2405.00929 (2024) - [i84]Lexing Ying:
A note on continuous-time online learning. CoRR abs/2405.10399 (2024) - [i83]Haoxuan Chen, Yinuo Ren, Lexing Ying, Grant M. Rotskoff:
Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity. CoRR abs/2405.15986 (2024) - [i82]Lexing Ying:
Tangent differential privacy. CoRR abs/2406.04535 (2024) - [i81]Xun Tang, Nan Sheng, Lexing Ying:
Solving high-dimensional Hamilton-Jacobi-Bellman equation with functional hierarchical tensor. CoRR abs/2408.04209 (2024) - [i80]Yinuo Ren, Haoxuan Chen, Grant M. Rotskoff, Lexing Ying:
How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework. CoRR abs/2410.03601 (2024) - [i79]Hongkang Ni, Lexing Ying:
Fast Phase Factor Finding for Quantum Signal Processing. CoRR abs/2410.06409 (2024) - [i78]Yinuo Ren, Tesi Xiao, Michael Shavlovsky, Lexing Ying, Holakou Rahmanian:
HyperDPO: Hypernetwork-based Multi-Objective Fine-Tuning Framework. CoRR abs/2410.08316 (2024) - [i77]Dong An, Andrew M. Childs, Lin Lin, Lexing Ying:
Laplace transform based quantum eigenvalue transformation via linear combination of Hamiltonian simulation. CoRR abs/2411.04010 (2024) - 2023
- [j92]Yifan Peng, Lin Lin, Lexing Ying, Leonardo Zepeda-Núñez:
Efficient long-range convolutions for point clouds. J. Comput. Phys. 473: 111692 (2023) - [j91]Philip A. Etter, Yuwei Fan, Lexing Ying:
Coarse-proxy reduced basis methods for integral equations. J. Comput. Phys. 475: 111835 (2023) - [j90]Yuhua Zhu, Zachary Izzo, Lexing Ying:
Continuous-in-time Limit for Bayesian Bandits. J. Mach. Learn. Res. 24: 305:1-305:35 (2023) - [j89]Haoya Li, Hongkang Ni, Lexing Ying:
On efficient quantum block encoding of pseudo-differential operators. Quantum 7: 1031 (2023) - [j88]Hongkang Ni, Haoya Li, Lexing Ying:
On low-depth algorithms for quantum phase estimation. Quantum 7: 1165 (2023) - [j87]Haoya Li, Samarth Gupta, Hsiang-Fu Yu, Lexing Ying, Inderjit S. Dhillon:
Approximate Newton Policy Gradient Algorithms. SIAM J. Sci. Comput. 45(5): 2585- (2023) - [c21]Jikai Jin, Yiping Lu, José H. Blanchet, Lexing Ying:
Minimax Optimal Kernel Operator Learning via Multilevel Training. ICLR 2023 - [c20]Jose H. Blanchet, Haoxuan Chen, Yiping Lu, Lexing Ying:
When can Regression-Adjusted Control Variate Help? Rare Events, Sobolev Embedding and Minimax Optimality. NeurIPS 2023 - [i76]Haoya Li, Hongkang Ni, Lexing Ying:
On efficient quantum block encoding of pseudo-differential operators. CoRR abs/2301.08908 (2023) - [i75]Haoya Li, Hongkang Ni, Lexing Ying:
A note on spike localization for line spectrum estimation. CoRR abs/2303.00946 (2023) - [i74]Alice Cortinovis, Lexing Ying:
Computing Free Convolutions via Contour Integrals. CoRR abs/2305.01819 (2023) - [i73]Jose H. Blanchet, Haoxuan Chen, Yiping Lu, Lexing Ying:
When can Regression-Adjusted Control Variates Help? Rare Events, Sobolev Embedding and Minimax Optimality. CoRR abs/2305.16527 (2023) - [i72]Haoya Li, Yu Tong, Hongkang Ni, Tuvia Gefen, Lexing Ying:
Heisenberg-limited Hamiltonian learning for interacting bosons. CoRR abs/2307.04690 (2023) - [i71]Lexing Ying:
Multimodal Sampling via Approximate Symmetries. CoRR abs/2310.07244 (2023) - [i70]Yinuo Ren, Tesi Xiao, Tanmay Gangwani, Anshuka Rangi, Holakou Rahmanian, Lexing Ying, Subhajit Sanyal:
Multi-Objective Optimization via Wasserstein-Fisher-Rao Gradient Flow. CoRR abs/2311.13159 (2023) - [i69]Lexing Ying:
Eigenmatrix for unstructured sparse recovery. CoRR abs/2311.16609 (2023) - [i68]Yinuo Ren, Yiping Lu, Lexing Ying, Grant M. Rotskoff:
Statistical Spatially Inhomogeneous Diffusion Inference. CoRR abs/2312.05793 (2023) - [i67]Xun Tang, Lexing Ying:
Solving high-dimensional Fokker-Planck equation with functional hierarchical tensor. CoRR abs/2312.07455 (2023) - [i66]Hongkang Ni, Haoya Li, Lexing Ying:
Quantum Hamiltonian Learning for the Fermi-Hubbard Model. CoRR abs/2312.17390 (2023) - 2022
- [j86]Haoya Li, Lexing Ying:
A semigroup method for high dimensional elliptic PDEs and eigenvalue problems based on neural networks. J. Comput. Phys. 453: 110939 (2022) - [j85]Lexing Ying:
Analytic continuation from limited noisy Matsubara data. J. Comput. Phys. 469: 111549 (2022) - [j84]Lexing Ying:
Pole Recovery From Noisy Data on Imaginary Axis. J. Sci. Comput. 92(3): 107 (2022) - [j83]Lexing Ying:
Stable factorization for phase factors of quantum signal processing. Quantum 6: 842 (2022) - [j82]Philip A. Etter, Lexing Ying:
Operator Shifting for General Noisy Matrix Systems. SIAM J. Math. Data Sci. 4(4): 1320-1346 (2022) - [c19]Zachary Izzo, James Zou, Lexing Ying:
How to Learn when Data Gradually Reacts to Your Model. AISTATS 2022: 3998-4035 - [c18]Yiping Lu, Haoxuan Chen, Jianfeng Lu, Lexing Ying, Jose H. Blanchet:
Machine Learning For Elliptic PDEs: Fast Rate Generalization Bound, Neural Scaling Law and Minimax Optimality. ICLR 2022 - [c17]Chao Ma, Lexing Ying:
Provably convergent quasistatic dynamics for mean-field two-player zero-sum games. ICLR 2022 - [c16]Jiahao Yao, Haoya Li, Marin Bukov, Lin Lin, Lexing Ying:
Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum Circuits. MSML 2022: 49-64 - [c15]Yiping Lu, José H. Blanchet, Lexing Ying:
Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent. NeurIPS 2022 - [c14]Philip A. Etter, Kai Zhong, Hsiang-Fu Yu, Lexing Ying, Inderjit S. Dhillon:
Enterprise-Scale Search: Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees. WWW 2022: 452-461 - [i65]Lexing Ying:
Pole recovery from noisy data on imaginary axis. CoRR abs/2202.02670 (2022) - [i64]Lexing Ying:
Stable factorization for phase factors of quantum signal processing. CoRR abs/2202.02671 (2022) - [i63]Lexing Ying:
Analytic continuation from limited noisy Matsubara data. CoRR abs/2202.09719 (2022) - [i62]Haoya Li, Hsiang-Fu Yu, Lexing Ying, Inderjit S. Dhillon:
Accelerating Primal-dual Methods for Regularized Markov Decision Processes. CoRR abs/2202.10506 (2022) - [i61]Chao Ma, Lexing Ying:
Provably convergent quasistatic dynamics for mean-field two-player zero-sum games. CoRR abs/2202.10947 (2022) - [i60]Jiahao Yao, Haoya Li, Marin Bukov, Lin Lin, Lexing Ying:
Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum Circuits. CoRR abs/2203.16707 (2022) - [i59]Chao Ma, Lei Wu, Lexing Ying:
The Multiscale Structure of Neural Network Loss Functions: The Effect on Optimization and Origin. CoRR abs/2204.11326 (2022) - [i58]Lexing Ying:
Double Flip Move for Ising Models with Mixed Boundary Conditions. CoRR abs/2205.07226 (2022) - [i57]Yiping Lu, Jose H. Blanchet, Lexing Ying:
Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent. CoRR abs/2205.07331 (2022) - [i56]Lexing Ying:
Annealed importance sampling for Ising models with mixed boundary conditions. CoRR abs/2205.08665 (2022) - [i55]Xun Tang, Yoonhaeng Hur, Yuehaw Khoo, Lexing Ying:
Generative Modeling via Tree Tensor Network States. CoRR abs/2209.01341 (2022) - [i54]Yiping Lu, Wenlong Ji, Zachary Izzo, Lexing Ying:
Importance Tempering: Group Robustness for Overparameterized Models. CoRR abs/2209.08745 (2022) - [i53]Jikai Jin, Yiping Lu, Jose H. Blanchet, Lexing Ying:
Minimax Optimal Kernel Operator Learning via Multilevel Training. CoRR abs/2209.14430 (2022) - [i52]Chao Ma, Lexing Ying:
Why self-attention is Natural for Sequence-to-Sequence Problems? A Perspective from Symmetries. CoRR abs/2210.06741 (2022) - [i51]Yuhua Zhu, Zach Izzo, Lexing Ying:
Continuous-in-time Limit for Bayesian Bandits. CoRR abs/2210.07513 (2022) - [i50]Yiping Lu, Jiajin Li, Lexing Ying, Jose H. Blanchet:
Synthetic Principal Component Design: Fast Covariate Balancing with Synthetic Controls. CoRR abs/2211.15241 (2022) - [i49]Yinuo Ren, Hongli Zhao, Yuehaw Khoo, Lexing Ying:
High-dimensional density estimation with tensorizing flow. CoRR abs/2212.00759 (2022) - 2021
- [j81]Haoya Li, Yuwei Fan, Lexing Ying:
A simple multiscale method for mean field games. J. Comput. Phys. 439: 110385 (2021) - [j80]Jordi Feliu-Fabà, Lexing Ying:
Approximate inversion of discrete Fourier integral operators. J. Comput. Phys. 446: 110654 (2021) - [j79]Lexing Ying:
Natural Gradient for Combined Loss Using Wavelets. J. Sci. Comput. 86(2): 26 (2021) - [j78]Lexing Ying:
A Heuristic Independent Particle Approximation to Determinantal Point Processes. J. Sci. Comput. 87(2): 57 (2021) - [j77]Zhihan Li, Yuwei Fan, Lexing Ying:
Multilevel Fine-Tuning: Closing Generalization Gaps in Approximation of Solution Maps under a Limited Budget for Training Data. Multiscale Model. Simul. 19(1): 344-373 (2021) - [j76]Yuehaw Khoo, Jianfeng Lu, Lexing Ying:
Efficient Construction of Tensor Ring Representations from Sampling. Multiscale Model. Simul. 19(3): 1261-1284 (2021) - [j75]Lukas Einkemmer, Jingwei Hu, Lexing Ying:
An Efficient Dynamical Low-Rank Algorithm for the Boltzmann-BGK Equation Close to the Compressible Viscous Flow Regime. SIAM J. Sci. Comput. 43(5): B1057-B1080 (2021) - [c13]Jing An, Lexing Ying, Yuhua Zhu:
Why resampling outperforms reweighting for correcting sampling bias with stochastic gradients. ICLR 2021 - [c12]Zachary Izzo, Lexing Ying, James Zou:
How to Learn when Data Reacts to Your Model: Performative Gradient Descent. ICML 2021: 4641-4650 - [c11]Rajat Sen, Alexander Rakhlin, Lexing Ying, Rahul Kidambi, Dean P. Foster, Daniel N. Hill, Inderjit S. Dhillon:
Top-k eXtreme Contextual Bandits with Arm Hierarchy. ICML 2021: 9422-9433 - [c10]Haoya Li, Yuehaw Khoo, Yinuo Ren, Lexing Ying:
A semigroup method for high dimensional committor functions based on neural network. MSML 2021: 598-618 - [c9]Yuhua Zhu, Zachary Izzo, Lexing Ying:
Borrowing From the Future: Addressing Double Sampling in Model-free Control. MSML 2021: 1099-1136 - [c8]Chao Ma, Lexing Ying:
On Linear Stability of SGD and Input-Smoothness of Neural Networks. NeurIPS 2021: 16805-16817 - [i48]Lukas Einkemmer, Jingwei Hu, Lexing Ying:
An efficient dynamical low-rank algorithm for the Boltzmann-BGK equation close to the compressible viscous flow regime. CoRR abs/2101.07104 (2021) - [i47]Zhihan Li, Yuwei Fan, Lexing Ying:
Multi-Level Fine-Tuning: Closing Generalization Gaps in Approximation of Solution Maps under a Limited Budget for Training Data. CoRR abs/2102.07169 (2021) - [i46]Zachary Izzo, Lexing Ying, James Zou:
How to Learn when Data Reacts to Your Model: Performative Gradient Descent. CoRR abs/2102.07698 (2021) - [i45]Rajat Sen, Alexander Rakhlin, Lexing Ying, Rahul Kidambi, Dean P. Foster, Daniel N. Hill, Inderjit S. Dhillon:
Top-k eXtreme Contextual Bandits with Arm Hierarchy. CoRR abs/2102.07800 (2021) - [i44]Philip A. Etter, Lexing Ying:
Operator Augmentation for General Noisy Matrix Systems. CoRR abs/2104.11294 (2021) - [i43]Jordi Feliu-Fabà, Lexing Ying:
Approximate inversion of discrete Fourier integral operators. CoRR abs/2105.02995 (2021) - [i42]Haoya Li, Lexing Ying:
A semigroup method for high dimensional elliptic PDEs and eigenvalue problems based on neural networks. CoRR abs/2105.03480 (2021) - [i41]Chao Ma, Lexing Ying:
The Sobolev Regularization Effect of Stochastic Gradient Descent. CoRR abs/2105.13462 (2021) - [i40]Jing An, Lexing Ying:
Combining resampling and reweighting for faithful stochastic optimization. CoRR abs/2105.14694 (2021) - [i39]Philip A. Etter, Kai Zhong, Hsiang-Fu Yu, Lexing Ying, Inderjit S. Dhillon:
Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees. CoRR abs/2106.02697 (2021) - [i38]Yuhua Zhu, Lexing Ying:
Variational Actor-Critic Algorithms. CoRR abs/2108.01215 (2021) - [i37]Haoya Li, Samarth Gupta, Hsiang-Fu Yu, Lexing Ying, Inderjit S. Dhillon:
Quasi-Newton policy gradient algorithms. CoRR abs/2110.02398 (2021) - [i36]Yiping Lu, Haoxuan Chen, Jianfeng Lu, Lexing Ying, Jose H. Blanchet:
Machine Learning For Elliptic PDEs: Fast Rate Generalization Bound, Neural Scaling Law and Minimax Optimality. CoRR abs/2110.06897 (2021) - [i35]Chao Ma, Lexing Ying:
A Riemannian Mean Field Formulation for Two-layer Neural Networks with Batch Normalization. CoRR abs/2110.08725 (2021) - [i34]Xun Tang, Lexing Ying, Yuhua Zhu:
Operator Augmentation for Model-based Policy Evaluation. CoRR abs/2110.12658 (2021) - [i33]Zachary Izzo, James Zou, Lexing Ying:
How to Learn when Data Gradually Reacts to Your Model. CoRR abs/2112.07042 (2021) - 2020
- [j74]Yuwei Fan, Lexing Ying:
Solving electrical impedance tomography with deep learning. J. Comput. Phys. 404 (2020) - [j73]Jordi Feliu-Fabà, Yuwei Fan, Lexing Ying:
Meta-learning pseudo-differential operators with deep neural networks. J. Comput. Phys. 408: 109309 (2020) - [j72]Lexing Ying:
Mirror Descent Algorithms for Minimizing Interacting Free Energy. J. Sci. Comput. 84(3): 51 (2020) - [j71]Jordi Feliu-Fabà, Lexing Ying:
Hierarchical Interpolative Factorization Preconditioner for Parabolic Equations. J. Sci. Comput. 85(2): 50 (2020) - [j70]Xin Ye, Jianlin Xia, Lexing Ying:
Analytical Low-Rank Compression via Proxy Point Selection. SIAM J. Matrix Anal. Appl. 41(3): 1059-1085 (2020) - [j69]Victor Minden, Lexing Ying:
A Simple Solver for the Fractional Laplacian in Multiple Dimensions. SIAM J. Sci. Comput. 42(2): A878-A900 (2020) - [j68]Yuehaw Khoo, Lin Lin, Michael Lindsey, Lexing Ying:
Semidefinite Relaxation of Multimarginal Optimal Transport for Strictly Correlated Electrons in Second Quantization. SIAM J. Sci. Comput. 42(6): B1462-B1489 (2020) - [c7]Yiping Lu, Chao Ma, Yulong Lu, Jianfeng Lu, Lexing Ying:
A Mean Field Analysis Of Deep ResNet And Beyond: Towards Provably Optimization Via Overparameterization From Depth. ICML 2020: 6426-6436 - [c6]Yuhua Zhu, Lexing Ying:
Borrowing From the Future: An Attempt to Address Double Sampling. MSML 2020: 246-268 - [i32]Yuhua Zhu, Lexing Ying:
A Sharp Convergence Rate for the Asynchronous Stochastic Gradient Descent. CoRR abs/2001.09126 (2020) - [i31]Yiping Lu, Chao Ma, Yulong Lu, Jianfeng Lu, Lexing Ying:
A Mean-field Analysis of Deep ResNet and Beyond: Towards Provable Optimization Via Overparameterization From Depth. CoRR abs/2003.05508 (2020) - [i30]Lexing Ying:
Mirror Descent Algorithms for Minimizing Interacting Free Energy. CoRR abs/2004.04555 (2020) - [i29]Jordi Feliu-Fabà, Lexing Ying:
Hierarchical Interpolative Factorization Preconditioner for Parabolic Equations. CoRR abs/2004.05566 (2020) - [i28]Yuhua Zhu, Zach Izzo, Lexing Ying:
Borrowing From the Future: Addressing Double Sampling in Model-free Control. CoRR abs/2006.06173 (2020) - [i27]Lexing Ying:
Natural Gradient for Combined Loss Using Wavelets. CoRR abs/2006.15806 (2020) - [i26]Haoya Li, Yuwei Fan, Lexing Ying:
A Simple Multiscale Method for Mean Field Games. CoRR abs/2007.04594 (2020) - [i25]Yingzhou Li, Jack Poulson, Lexing Ying:
Distributed-memory H-matrix Algebra I: Data Distribution and Matrix-vector Multiplication. CoRR abs/2008.12441 (2020) - [i24]Lexing Ying:
A heuristic independent particle approximation to determinantal point processes. CoRR abs/2009.00253 (2020) - [i23]Jing An, Lexing Ying, Yuhua Zhu:
Why resampling outperforms reweighting for correcting sampling bias. CoRR abs/2009.13447 (2020) - [i22]Yifan Peng, Lin Lin, Lexing Ying, Leonardo Zepeda-Núñez:
Efficient Long-Range Convolutions for Point Clouds. CoRR abs/2010.05295 (2020) - [i21]Philip A. Etter, Lexing Ying:
Operator Augmentation for Noisy Elliptic Systems. CoRR abs/2010.09656 (2020) - [i20]Haoya Li, Yuehaw Khoo, Yinuo Ren, Lexing Ying:
Solving for high dimensional committor functions using neural network with online approximation to derivatives. CoRR abs/2012.06727 (2020) - [i19]Chao Ma, Lexing Ying:
Achieving Adversarial Robustness Requires An Active Teacher. CoRR abs/2012.07233 (2020)
2010 – 2019
- 2019
- [j67]Lin Lin, Jianfeng Lu, Lexing Ying:
Numerical methods for Kohn-Sham density functional theory. Acta Numer. 28: 405-539 (2019) - [j66]Fei Liu, Lexing Ying:
Sparsifying preconditioner for the time-harmonic Maxwell's equations. J. Comput. Phys. 376: 913-923 (2019) - [j65]