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Conference and Workshop Papers
- 2024
[c8]Sally Dong, Guanghao Ye:
Faster Min-Cost Flow and Approximate Tree Decomposition on Bounded Treewidth Graphs. ESA 2024: 49:1-49:14- [c7]Sally Dong, Gramoz Goranci, Lawrence Li, Sushant Sachdeva, Guanghao Ye:
Fast Algorithms for Separable Linear Programs. SODA 2024: 3558-3604 - [c6]Mehrdad Ghadiri
, Yin Tat Lee, Swati Padmanabhan, William Swartworth, David P. Woodruff, Guanghao Ye:
Improving the Bit Complexity of Communication for Distributed Convex Optimization. STOC 2024: 1130-1140 - 2022
- [c5]Damek Davis, Dmitriy Drusvyatskiy, Yin Tat Lee, Swati Padmanabhan, Guanghao Ye:
A gradient sampling method with complexity guarantees for Lipschitz functions in high and low dimensions. NeurIPS 2022 - [c4]Sally Dong, Haotian Jiang, Yin Tat Lee, Swati Padmanabhan, Guanghao Ye:
Decomposable Non-Smooth Convex Optimization with Nearly-Linear Gradient Oracle Complexity. NeurIPS 2022 - [c3]Sally Dong, Yu Gao, Gramoz Goranci, Yin Tat Lee, Richard Peng, Sushant Sachdeva, Guanghao Ye:
Nested Dissection Meets IPMs: Planar Min-Cost Flow in Nearly-Linear Time. SODA 2022: 124-153 - 2021
- [c2]Sally Dong, Yin Tat Lee, Guanghao Ye:
A nearly-linear time algorithm for linear programs with small treewidth: a multiscale representation of robust central path. STOC 2021: 1784-1797 - 2020
- [c1]Jerry Li, Guanghao Ye:
Robust Gaussian Covariance Estimation in Nearly-Matrix Multiplication Time. NeurIPS 2020
Informal and Other Publications
- 2024
- [i7]Mehrdad Ghadiri, Yin Tat Lee, Swati Padmanabhan, William Swartworth, David P. Woodruff, Guanghao Ye:
Improving the Bit Complexity of Communication for Distributed Convex Optimization. CoRR abs/2403.19146 (2024) - 2023
- [i6]Sally Dong, Guanghao Ye:
Faster Min-Cost Flow on Bounded Treewidth Graphs. CoRR abs/2308.14727 (2023) - [i5]Sally Dong, Gramoz Goranci, Lawrence Li, Sushant Sachdeva, Guanghao Ye:
Fast Algorithms for Separable Linear Programs. CoRR abs/2310.16351 (2023) - 2022
- [i4]Sally Dong, Yu Gao, Gramoz Goranci, Yin Tat Lee, Richard Peng, Sushant Sachdeva, Guanghao Ye:
Nested Dissection Meets IPMs: Planar Min-Cost Flow in Nearly-Linear Time. CoRR abs/2205.01562 (2022) - [i3]Sally Dong, Haotian Jiang, Yin Tat Lee, Swati Padmanabhan, Guanghao Ye:
Decomposable Non-Smooth Convex Optimization with Nearly-Linear Gradient Oracle Complexity. CoRR abs/2208.03811 (2022) - 2020
- [i2]Jerry Li, Guanghao Ye:
Robust Gaussian Covariance Estimation in Nearly-Matrix Multiplication Time. CoRR abs/2006.13312 (2020) - [i1]Sally Dong, Yin Tat Lee, Guanghao Ye:
A Nearly-Linear Time Algorithm for Linear Programs with Small Treewidth: A Multiscale Representation of Robust Central Path. CoRR abs/2011.05365 (2020)
Coauthor Index
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