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Yin Tat Lee

Massachusetts Institute of Technology · US
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Area of research
Computational Theory and Mathematics · Artificial Intelligence
Research interest
Research interests include Mathematics, Computer science, Combinatorics, Algorithm, Matrix multiplication, and Time complexity.
h-index
citations
1,253
works
14
NIH funding
primary concept
email

Recent publications

Differentially Private Fine-tuning of Language Models
Journal of Privacy and Confidentiality 2024cited by 36position: middledoi
Solving Linear Programs in the Current Matrix Multiplication Time
Journal of the ACM 2021cited by 129position: middledoi
Metrical Task Systems on Trees via Mirror Descent and Unfair Gluing
SIAM Journal on Computing 2021cited by 10position: lastdoi
Solving linear programs in the current matrix multiplication time
2019cited by 153position: middledoi
Geometric median in nearly linear time
2016cited by 109position: middledoi
Sparsified Cholesky and multigrid solvers for connection laplacians
2016cited by 94position: middledoi
Efficient Inverse Maintenance and Faster Algorithms for Linear Programming
2015cited by 104position: firstdoi
A Faster Cutting Plane Method and its Implications for Combinatorial and Convex Optimization
2015cited by 48position: firstdoi
Constructing Linear-Sized Spectral Sparsification in Almost-Linear Time
2015cited by 34position: firstdoi
Efficient Inverse Maintenance and Faster Algorithms for Linear Programming
arXiv (Cornell University) 2015cited by 9position: firstdoi
Path Finding Methods for Linear Programming: Solving Linear Programs in Õ(vrank) Iterations and Faster Algorithms for Maximum Flow
2014cited by 238position: firstdoi
Single Pass Spectral Sparsification in Dynamic Streams
2014cited by 59position: middledoi
An Almost-Linear-Time Algorithm for Approximate Max Flow in Undirected Graphs, and its Multicommodity Generalizations
2013cited by 154position: middledoi
A new approach to computing maximum flows using electrical flows
2013cited by 76position: firstdoi

Grants

No grants ingested yet.

Frequent collaborators

Michael B. Cohen · Massachusetts Institute of Technology4 papers (2016–2021)Aaron Sidford · Palo Alto University4 papers (2014–2015)Aaron Sidford · Massachusetts Institute of Technology3 papers (2013–2016)Zhao Song · Princeton University2 papers (2019–2021)James R. Lee · University of California, Berkeley1 papers (2021–2021) · 1 papers (2024–2024)Sivakanth Gopi · Princeton University1 papers (2024–2024) · 1 papers (2024–2024) · 1 papers (2024–2024)Gautam Kamath · Massachusetts Institute of Technology1 papers (2024–2024) · 1 papers (2016–2016)Lukas Wutschitz · Seattle University1 papers (2024–2024) · 1 papers (2016–2016)He Sun · University of Bristol1 papers (2015–2015) · 1 papers (2024–2024)Sushant Sachdeva · Princeton University1 papers (2016–2016) · 1 papers (2024–2024)Satish Rao · University of California, Berkeley1 papers (2013–2013)Artūrs Bačkurs · Massachusetts Institute of Technology1 papers (2024–2024)Lorenzo Orecchia · University of Chicago1 papers (2013–2013)
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