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ORCIDSushant Sachdeva
- > Home > Persons > Sushant Sachdeva
Publications
- 2024
[c36]Jan van den Brand, Li Chen, Rasmus Kyng, Yang P. Liu, Richard Peng, Maximilian Probst Gutenberg, Sushant Sachdeva, Aaron Sidford:
Incremental Approximate Maximum Flow on Undirected Graphs in Subpolynomial Update Time. SODA 2024: 2980-2998- 2023
- [j8]Li Chen, Rasmus Kyng, Yang P. Liu, Richard Peng, Maximilian Probst Gutenberg
, Sushant Sachdeva:
Almost-Linear-Time Algorithms for Maximum Flow and Minimum-Cost Flow. Commun. ACM 66(12): 85-92 (2023) - [c34]Jan van den Brand, Li Chen, Richard Peng, Rasmus Kyng, Yang P. Liu, Maximilian Probst Gutenberg, Sushant Sachdeva, Aaron Sidford:
A Deterministic Almost-Linear Time Algorithm for Minimum-Cost Flow. FOCS 2023: 503-514 - [c32]Li Chen, Rasmus Kyng, Maximilian Probst Gutenberg, Sushant Sachdeva:
A Simple Framework for Finding Balanced Sparse Cuts via APSP. SOSA 2023: 42-55 - [i45]Jan van den Brand, Li Chen, Rasmus Kyng, Yang P. Liu, Richard Peng, Maximilian Probst Gutenberg, Sushant Sachdeva, Aaron Sidford:
A Deterministic Almost-Linear Time Algorithm for Minimum-Cost Flow. CoRR abs/2309.16629 (2023) - [i43]Jan van den Brand, Li Chen, Rasmus Kyng, Yang P. Liu, Richard Peng, Maximilian Probst Gutenberg, Sushant Sachdeva, Aaron Sidford:
Incremental Approximate Maximum Flow on Undirected Graphs in Subpolynomial Update Time. CoRR abs/2311.03174 (2023) - 2022
- [c30]Li Chen, Rasmus Kyng, Yang P. Liu, Richard Peng, Maximilian Probst Gutenberg, Sushant Sachdeva:
Maximum Flow and Minimum-Cost Flow in Almost-Linear Time. FOCS 2022: 612-623 - [i41]Li Chen, Rasmus Kyng, Yang P. Liu, Richard Peng, Maximilian Probst Gutenberg, Sushant Sachdeva:
Maximum Flow and Minimum-Cost Flow in Almost-Linear Time. CoRR abs/2203.00671 (2022) - [i38]Li Chen, Rasmus Kyng, Maximilian Probst Gutenberg, Sushant Sachdeva:
A Simple Framework for Finding Balanced Sparse Cuts via APSP. CoRR abs/2209.08845 (2022) - [i36]Deeksha Adil, Rasmus Kyng, Richard Peng, Sushant Sachdeva:
Fast Algorithms for 𝓁p-Regression. CoRR abs/2211.03963 (2022) - 2021
- [c27]Deeksha Adil, Brian Bullins, Rasmus Kyng, Sushant Sachdeva:
Almost-Linear-Time Weighted 𝓁p-Norm Solvers in Slightly Dense Graphs via Sparsification. ICALP 2021: 9:1-9:15 - [i35]Deeksha Adil, Brian Bullins, Rasmus Kyng, Sushant Sachdeva:
Almost-linear-time Weighted 𝓁p-norm Solvers in Slightly Dense Graphs via Sparsification. CoRR abs/2102.06977 (2021) - 2019
- [c19]Deeksha Adil, Rasmus Kyng, Richard Peng, Sushant Sachdeva:
Iterative Refinement for ℓp-norm Regression. SODA 2019: 1405-1424 - [c17]Rasmus Kyng, Richard Peng, Sushant Sachdeva, Di Wang:
Flows in almost linear time via adaptive preconditioning. STOC 2019: 902-913 - [i30]Deeksha Adil, Rasmus Kyng, Richard Peng, Sushant Sachdeva:
Iterative Refinement for 𝓁p-norm Regression. CoRR abs/1901.06764 (2019) - [i29]Rasmus Kyng, Richard Peng, Sushant Sachdeva, Di Wang:
Flows in Almost Linear Time via Adaptive Preconditioning. CoRR abs/1906.10340 (2019) - 2017
- [c13]Rasmus Kyng, Jakub Pachocki, Richard Peng, Sushant Sachdeva:
A Framework for Analyzing Resparsification Algorithms. SODA 2017: 2032-2043 - [c12]David Durfee, Rasmus Kyng, John Peebles, Anup B. Rao, Sushant Sachdeva:
Sampling random spanning trees faster than matrix multiplication. STOC 2017: 730-742 - 2016
- [c11]Rasmus Kyng, Sushant Sachdeva:
Approximate Gaussian Elimination for Laplacians - Fast, Sparse, and Simple. FOCS 2016: 573-582 - [c10]Rasmus Kyng, Yin Tat Lee, Richard Peng, Sushant Sachdeva, Daniel A. Spielman:
Sparsified Cholesky and multigrid solvers for connection laplacians. STOC 2016: 842-850 - [i21]Rasmus Kyng, Sushant Sachdeva:
Approximate Gaussian Elimination for Laplacians: Fast, Sparse, and Simple. CoRR abs/1605.02353 (2016) - [i20]Rasmus Kyng, Jakub Pachocki, Richard Peng, Sushant Sachdeva:
A Framework for Analyzing Resparsification Algorithms. CoRR abs/1611.06940 (2016) - [i19]David Durfee, Rasmus Kyng, John Peebles, Anup B. Rao, Sushant Sachdeva:
Sampling Random Spanning Trees Faster than Matrix Multiplication. CoRR abs/1611.07451 (2016) - 2015
- [c9]Rasmus Kyng, Anup Rao, Sushant Sachdeva, Daniel A. Spielman:
Algorithms for Lipschitz Learning on Graphs. COLT 2015: 1190-1223 - [c7]Rasmus Kyng, Anup Rao, Sushant Sachdeva:
Fast, Provable Algorithms for Isotonic Regression in all L_p-norms. NIPS 2015: 2719-2727 - [i18]Rasmus Kyng, Anup Rao, Sushant Sachdeva, Daniel A. Spielman:
Algorithms for Lipschitz Learning on Graphs. CoRR abs/1505.00290 (2015) - [i17]Rasmus Kyng, Anup Rao, Sushant Sachdeva:
Fast, Provable Algorithms for Isotonic Regression in all ℓp-norms. CoRR abs/1507.00710 (2015) - [i15]Rasmus Kyng, Yin Tat Lee, Richard Peng, Sushant Sachdeva, Daniel A. Spielman:
Sparsified Cholesky and Multigrid Solvers for Connection Laplacians. CoRR abs/1512.01892 (2015)
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