Ruizhe Zhang

Affiliations:
  • University of Texas at Austin, TX, USA


According to our database1, Ruizhe Zhang authored at least 30 papers between 2020 and 2024.

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Bibliography

2024
Quantum Speedup for Spectral Approximation of Kronecker Products.
CoRR, 2024

Training Multi-Layer Over-Parametrized Neural Network in Subquadratic Time.
Proceedings of the 15th Innovations in Theoretical Computer Science Conference, 2024

2023
Quantum algorithm for ground state energy estimation using circuit depth with exponentially improved dependence on precision.
Quantum, November, 2023

Revisiting Quantum Algorithms for Linear Regressions: Quadratic Speedups without Data-Dependent Parameters.
CoRR, 2023

Fast Quantum Algorithm for Attention Computation.
CoRR, 2023

Efficient Algorithm for Solving Hyperbolic Programs.
CoRR, 2023

A General Algorithm for Solving Rank-one Matrix Sensing.
CoRR, 2023

Convergence and Generalization of Wide Neural Networks with Large Bias.
CoRR, 2023

Bypass Exponential Time Preprocessing: Fast Neural Network Training via Weight-Data Correlation Preprocessing.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Hyperbolic Extension of Kadison-Singer Type Results.
Proceedings of the 50th International Colloquium on Automata, Languages, and Programming, 2023

Quartic Samples Suffice for Fourier Interpolation.
Proceedings of the 64th IEEE Annual Symposium on Foundations of Computer Science, 2023

2022
Computing Ground State Properties with Early Fault-Tolerant Quantum Computers.
Quantum, 2022

Sparse Fourier Transform over Lattices: A Unified Approach to Signal Reconstruction.
CoRR, 2022

A Dynamic Fast Gaussian Transform.
CoRR, 2022

Quantum Speedups of Optimizing Approximately Convex Functions with Applications to Logarithmic Regret Stochastic Convex Bandits.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Fast Distance Oracles for Any Symmetric Norm.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Symmetric Sparse Boolean Matrix Factorization and Applications.
Proceedings of the 13th Innovations in Theoretical Computer Science Conference, 2022

Solving SDP Faster: A Robust IPM Framework and Efficient Implementation.
Proceedings of the 63rd IEEE Annual Symposium on Foundations of Computer Science, 2022

Hyperbolic Concentration, Anti-Concentration, and Discrepancy.
Proceedings of the Approximation, 2022

Eigenstripping, Spectral Decay, and Edge-Expansion on Posets.
Proceedings of the Approximation, 2022

2021
QED driven QAOA for network-flow optimization.
Quantum, 2021

Quantum Meets the Minimum Circuit Size Problem.
Electron. Colloquium Comput. Complex., 2021

Symmetric Boolean Factor Analysis with Applications to InstaHide.
CoRR, 2021

Does Preprocessing Help Training Over-parameterized Neural Networks?
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
New Approaches for Quantum Copy-Protection.
IACR Cryptol. ePrint Arch., 2020

InstaHide's Sample Complexity When Mixing Two Private Images.
CoRR, 2020

Hyperbolic Polynomials I : Concentration and Discrepancy.
CoRR, 2020

Quantum Copy-Protection from Hidden Subspaces.
CoRR, 2020

On the Quantum Complexity of Closest Pair and Related Problems.
Proceedings of the 35th Computational Complexity Conference, 2020


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