Prof. Lisa Hellerstein — Research Profile
Graduate application deadlines
Department of Computer Science and Engineering (Tandon School of Engineering)
MS in Computer Science
Fall 2027Priority deadline
Dec 1, 2026
Application deadline
Feb 15, 2027
No year on the page — check the original to confirm these dates are for this cycle.
Source: engineering.nyu.eduChecked Nov 2, 2026PhD in Computer Science (unified Courant–Tandon program)
Fall 2027Application deadline
Dec 12, 2026
No year on the page — check the original to confirm these dates are for this cycle.
Source: cs.nyu.eduChecked Nov 2, 2026
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뉴욕 대학교 컴퓨터공학과 소속 Lisa Hellerstein 교수의 등록된 연구 분야는 Approximation Algorithms, Stochastic Combinatorial Optimization, Machine Learning Theory, Boolean Functions, Complexity Theory입니다.
Research keywords
Recent papers
- Stochastic Minimum Spanning Tree Identification with Binary WeightsNewPreprintarXiv (Cornell University) · Oct 29
- On Extensions of the Unanimous Vote ProblemPreprintarXiv (Cornell University) · Sep 29
- Approximating Matroid Basis Testing for Partition Matroids using Budget-In-ExpectationPreprintarXiv (Cornell University) · Jan 10
From OpenAlex · papers whose author affiliation matches this university
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Shared topic: Complexity and Algorithms in Graphs
Thatchaphol Saranurak Lab
University of Michigan · Computer Science and Engineering (Division of the Department of Electrical Engineering and Computer Science)
Directed Global Minimum Cut in Almost-Linear TimePreprintarXiv (Cornell University) · Oct 7Chandra Chekuri Lab
University of Illinois Urbana-Champaign · Computer Science
A Polymatroidal Perspective on Random ContractionPreprintarXiv (Cornell University) · Sep 3Sanjeev Khanna Lab
New York University · Department of Computer Science (Courant Institute of Mathematical Sciences)
Stochastic Minimum Spanning Tree Identification with Binary WeightsNewPreprintarXiv (Cornell University) · Oct 29
Other labs in this department
- Aaron Bernstein Lab
Theoretical Computer Science, Design and Analysis of Algorithms, Graph Algorithms, Dynamic Algorithms, Sublinear Algorithms, Approximation Algorithms
- Ainesh Bakshi Lab
Algorithms, Quantum Information, Learning Theory, Linear Algebra
- Boris Aronov Lab
Computational Geometry, Discrete and Combinatorial Geometry, Algorithms
- Chinmay Hegde Lab
Machine Learning, Algorithms, Big Data, Signal and Image Processing
- Christopher Musco Lab
Scalable machine learning, foundations of data science, numerical linear algebra, theory of algorithms, randomized algorithms, sketching and streaming
- Claudio Silva Lab
Visualization and Graphics, Geometric Computing, Data Science, Urban Computing, Sports Analytics