Lichen Zhang
14 papers · 2021–2025 · 5 conferences · across top CS/AI conferences
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Conferences
ICML (5)
AISTATS (3)
ICLR (3)
NIPS (2)
ACL (1)
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Keywords
large language model
(2)
differential privacy
(2)
dimensionality reduction
(1)
convex optimization
(1)
optimal transport
(1)
attention mechanism
(1)
kernel approximation
(1)
low-rank matrix
(1)
formal verification
(1)
markov chain monte carlo
(1)
empirical risk minimization
(1)
low-rank approximation
(1)
kernel regression
(1)
kernel matrix
(1)
stochastic process
(1)
ridge regression
(1)
communication efficiency
(1)
convex programming
(1)
kronecker product
(1)
neural tangent kernel
(1)
Papers
On Differential Privacy for Adaptively Solving Search Problems via Sketching
ICML 2025
Faster Algorithms for Structured Linear and Kernel Support Vector Machines
ICLR 2025
Efficient Alternating Minimization with Applications to Weighted Low Rank Approximation
ICLR 2025
Selene: Pioneering Automated Proof in Software Verification
ACL 2024
Log-concave Sampling from a Convex Body with a Barrier: a Robust and Unified Dikin Walk
NIPS 2024
Fast Dynamic Sampling for Determinantal Point Processes
AISTATS 2024
Low Rank Matrix Completion via Robust Alternating Minimization in Nearly Linear Time
ICLR 2024
Solving Attention Kernel Regression Problem via Pre-conditioner
AISTATS 2024
An Online and Unified Algorithm for Projection Matrix Vector Multiplication with Application to Empirical Risk Minimization
AISTATS 2023
A Nearly-Optimal Bound for Fast Regression with $\ell_β$ Guarantee
ICML 2023
Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability
ICML 2023
Sketching Meets Differential Privacy: Fast Algorithm for Dynamic Kronecker Projection Maintenance
ICML 2023
Dynamic Tensor Product Regression
NIPS 2022
Fast Sketching of Polynomial Kernels of Polynomial Degree
ICML 2021