Timothy Chu

According to our database1, Timothy Chu authored at least 12 papers between 2013 and 2024.

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Bibliography

2024
How to Protect Copyright Data in Optimization of Large Language Models?
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Graph Sparsification, Spectral Sketches, and Faster Resistance Computation via Short Cycle Decompositions.
SIAM J. Comput., December, 2023

Fine-tune Language Models to Approximate Unbiased In-context Learning.
CoRR, 2023

Spectral Clustering on Large Datasets: When Does it Work? Theory from Continuous Clustering and Density Cheeger-Buser.
CoRR, 2023

2022
Machine Learning: Metrics and Embeddings.
PhD thesis, 2022

2020
Functions that Preserve Manhattan Distances.
CoRR, 2020

Weighted Cheeger and Buser Inequalities, with Applications to Clustering and Cutting Probability Densities.
CoRR, 2020

Exact computation of a manifold metric, via Lipschitz Embeddings and Shortest Paths on a Graph.
Proceedings of the 2020 ACM-SIAM Symposium on Discrete Algorithms, 2020

Algorithms and Hardness for Linear Algebra on Geometric Graphs.
Proceedings of the 61st IEEE Annual Symposium on Foundations of Computer Science, 2020

2018
Constant Arboricity Spectral Sparsifiers.
CoRR, 2018

2017
Intrinsic Metrics: Nearest Neighbor and Edge Squared Distances.
CoRR, 2017

2013
Computing the Longest Increasing Subsequence of a Sequence Subject to Dynamic Insertion.
CoRR, 2013


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