Maria-Florina Balcan

Maria-Florina Balcan

Carnegie Mellon University

H-index: 53

North America-United States

About Maria-Florina Balcan

Maria-Florina Balcan, With an exceptional h-index of 53 and a recent h-index of 40 (since 2020), a distinguished researcher at Carnegie Mellon University, specializes in the field of Machine Learning, Algorithmic Game Theory, Theoretical Computer Science..

His recent articles reflect a diverse array of research interests and contributions to the field:

New Sequence-Independent Lifting Techniques for Cutting Planes and When They Induce Facets

New Bounds for Hyperparameter Tuning of Regression Problems Across Instances

Bicriteria Multidimensional Mechanism Design with Side Information

Meta-Learning Adversarial Bandit Algorithms

Learning to branch: Generalization guarantees and limits of data-independent discretization

Learning with Explanation Constraints

Regret Minimization in Stackelberg Games with Side Information

Reliable learning in challenging environments

Maria-Florina Balcan Information

University

Position

Professor School of Computer Science

Citations(all)

9594

Citations(since 2020)

4953

Cited By

6881

hIndex(all)

53

hIndex(since 2020)

40

i10Index(all)

115

i10Index(since 2020)

92

Email

University Profile Page

Carnegie Mellon University

Google Scholar

View Google Scholar Profile

Maria-Florina Balcan Skills & Research Interests

Machine Learning

Algorithmic Game Theory

Theoretical Computer Science.

Top articles of Maria-Florina Balcan

Title

Journal

Author(s)

Publication Date

New Sequence-Independent Lifting Techniques for Cutting Planes and When They Induce Facets

arXiv preprint arXiv:2401.13773

Siddharth Prasad

Ellen Vitercik

Maria-Florina Balcan

Tuomas Sandholm

2024/1/24

New Bounds for Hyperparameter Tuning of Regression Problems Across Instances

Advances in Neural Information Processing Systems

Maria-Florina F Balcan

Anh Nguyen

Dravyansh Sharma

2024/2/13

Bicriteria Multidimensional Mechanism Design with Side Information

Maria-Florina Balcan

Siddharth Prasad

Tuomas Sandholm

2023/2/28

Meta-Learning Adversarial Bandit Algorithms

Advances in Neural Information Processing Systems

Misha Khodak

Ilya Osadchiy

Keegan Harris

Maria-Florina F Balcan

Kfir Y Levy

...

2024/2/13

Learning to branch: Generalization guarantees and limits of data-independent discretization

Journal of the ACM

Maria-Florina Balcan

Travis Dick

Tuomas Sandholm

Ellen Vitercik

2023

Learning with Explanation Constraints

Advances in Neural Information Processing Systems

Rattana Pukdee

Dylan Sam

J Zico Kolter

Maria-Florina F Balcan

Pradeep Ravikumar

2024/2/13

Regret Minimization in Stackelberg Games with Side Information

arXiv preprint arXiv:2402.08576

Keegan Harris

Zhiwei Steven Wu

Maria-Florina Balcan

2024/2/13

Reliable learning in challenging environments

Advances in Neural Information Processing Systems

Maria-Florina F Balcan

Steve Hanneke

Rattana Pukdee

Dravyansh Sharma

2024/2/13

Spectrally Transformed Kernel Regression

Runtian Zhai

Rattana Pukdee

Roger Jin

Maria-Florina Balcan

Pradeep Ravikumar

2024/2/1

LABEL PROPAGATION WITH WEAK SUPERVISION

Rattana Pukdee

Dylan Sam

Maria-Florina Balcan

Pradeep Ravikumar

2023

Nash equilibria and pitfalls of adversarial training in adversarial robustness games

Maria-Florina Balcan

Rattana Pukdee

Pradeep Ravikumar

Hongyang Zhang

2023/4/11

Generalization guarantees for multi-item profit maximization: Pricing, auctions, and randomized mechanisms

Operations Research

Maria-Florina Balcan

Tuomas Sandholm

Ellen Vitercik

2023/12/13

Reliable learning for test-time attacks and distribution shift

arXiv preprint arXiv:2304.03370

Maria-Florina Balcan

Steve Hanneke

Rattana Pukdee

Dravyansh Sharma

2023/4/6

Stackelberg Games with Side Information

Keegan Harris

Steven Wu

Maria Florina Balcan

2023/10/31

Learning revenue maximizing menus of lotteries and two-part tariffs

arXiv preprint arXiv:2302.11700

Maria-Florina Balcan

Hedyeh Beyhaghi

2023/2/22

Learning to Relax: Setting Solver Parameters Across a Sequence of Linear System Instances

arXiv preprint arXiv:2310.02246

Mikhail Khodak

Edmond Chow

Maria-Florina Balcan

Ameet Talwalkar

2023/10/3

An analysis of robustness of non-lipschitz networks

Journal of Machine Learning Research

Maria-Florina Balcan

Avrim Blum

Dravyansh Sharma

Hongyang Zhang

2023

Multi-agent Value of Information for components’ inspections

ICASP14-14th International Conference on Applications of Statistics and Probability in Civil Engineering

Chaochao Lin

Maria-Florina Balcan

Avrim Blum

Matteo Pozzi

2023/8

Maximizing revenue under market shrinkage and market uncertainty

Advances in Neural Information Processing Systems

Maria-Florina Balcan

Siddharth Prasad

Tuomas Sandholm

2022/12/6

Meta-learning adversarial bandits

arXiv preprint arXiv:2205.14128

Maria-Florina Balcan

Keegan Harris

Mikhail Khodak

Zhiwei Steven Wu

2022/5/27

See List of Professors in Maria-Florina Balcan University(Carnegie Mellon University)

Co-Authors

H-index: 95
Tuomas Sandholm

Tuomas Sandholm

Carnegie Mellon University

H-index: 83
Le Song

Le Song

Georgia Institute of Technology

H-index: 80
Avrim Blum

Avrim Blum

Toyota Technological Institute

H-index: 71
Santosh S. Vempala

Santosh S. Vempala

Georgia Institute of Technology

H-index: 61
Ariel Procaccia

Ariel Procaccia

Harvard University

H-index: 58
David Woodruff

David Woodruff

Carnegie Mellon University

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