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Maria-Florina Balcan
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78
Sample complexity of data-driven tuning of model hyperparameters in neural networks with structured parameter-dependent dual function
3 days ago by
Maria-Florina Balcan
and
others
Machine Learning
Nearly-Optimal Bandit Learning in Stackelberg Games with Side Information
31 January 2025 by
Maria-Florina Balcan
and
others
Machine Learning
,
Computer Science and Game Theory
Algorithm Configuration for Structured Pfaffian Settings
12 November 2024 by
Maria-Florina Balcan
and
others
Machine Learning
,
Artificial Intelligence
Accelerating ERM for data-driven algorithm design using output-sensitive techniques
23 October 2024 by
Maria-Florina Balcan
and
others
Data Structures and Algorithms
,
Machine Learning
Regret Minimization in Stackelberg Games with Side Information
12 October 2024 by
Keegan Harris
and
others
Computer Science and Game Theory
,
Machine Learning
Bicriteria Multidimensional Mechanism Design with Side Information
9 October 2024 by
Maria-Florina Balcan
and
others
Computer Science and Game Theory
,
Theoretical Economics
Subsidy design for better social outcomes
4 September 2024 by
Maria-Florina Balcan
and
others
Computer Science and Game Theory
,
Machine Learning
New Guarantees for Learning Revenue Maximizing Menus of Lotteries and Two-Part Tariffs
15 July 2024 by
Maria-Florina Balcan
and
Hedyeh Beyhaghi
Computer Science and Game Theory
,
Machine Learning
Learning accurate and interpretable decision trees
24 May 2024 by
Maria-Florina Balcan
and
Dravyansh Sharma
Machine Learning
Learning to Relax: Setting Solver Parameters Across a Sequence of Linear System Instances
2 May 2024 by
Mikhail Khodak
and
others
Machine Learning
,
Artificial Intelligence
Spectrally Transformed Kernel Regression
1 February 2024 by
Runtian Zhai
and
others
Machine Learning
New Sequence-Independent Lifting Techniques for Cutting Planes and When They Induce Facets
24 January 2024 by
Siddharth Prasad
and
others
at
Stanford University
Optimization and Control
,
Discrete Mathematics
Provably tuning the ElasticNet across instances
15 January 2024 by
Maria-Florina Balcan
and
others
Machine Learning
Learning with Explanation Constraints
22 December 2023 by
Rattana Pukdee
and
others
Machine Learning
,
Artificial Intelligence
Estimating Approximate Incentive Compatibility
11 December 2023 by
Maria-Florina Balcan
and
others
Computer Science and Game Theory
Meta-Learning Adversarial Bandit Algorithms
1 November 2023 by
Mikhail Khodak
and
others
Machine Learning
,
Artificial Intelligence
Reliable learning in challenging environments
29 October 2023 by
Maria-Florina Balcan
and
others
Machine Learning
,
Cryptography and Security
Label Propagation with Weak Supervision
11 March 2023 by
Rattana Pukdee
and
others
Machine Learning
Nash Equilibria and Pitfalls of Adversarial Training in Adversarial Robustness Games
25 October 2022 by
Maria-Florina Balcan
and
others
Machine Learning
,
Computer Science and Game Theory
Learning Predictions for Algorithms with Predictions
17 October 2022 by
Mikhail Khodak
and
others
Machine Learning
,
Artificial Intelligence
Meta-Learning Adversarial Bandits
27 May 2022 by
Maria-Florina Balcan
and
others
Machine Learning
,
Artificial Intelligence
Improved Sample Complexity Bounds for Branch-and-Cut
11 May 2022 by
Maria-Florina Balcan
and
others
Machine Learning
,
Artificial Intelligence
Structural Analysis of Branch-and-Cut and the Learnability of Gomory Mixed Integer Cuts
15 April 2022 by
Maria-Florina Balcan
and
others
Optimization and Control
,
Data Structures and Algorithms
Robustly-reliable learners under poisoning attacks
8 March 2022 by
Maria-Florina Balcan
and
others
Machine Learning
,
Artificial Intelligence
Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing
4 November 2021 by
Mikhail Khodak
and
others
Machine Learning
,
Artificial Intelligence
Sample Complexity of Tree Search Configuration: Cutting Planes and Beyond
8 June 2021 by
Maria-Florina Balcan
and
others
Artificial Intelligence
,
Machine Learning
Data driven algorithms for limited labeled data learning
22 April 2021 by
Maria-Florina Balcan
and
Dravyansh Sharma
Machine Learning
,
Artificial Intelligence
Scalable and Provably Accurate Algorithms for Differentially Private Distributed Decision Tree Learning
20 February 2021 by
Kaiwen Wang
and
others
Machine Learning
,
Cryptography and Security
Refined bounds for algorithm configuration: The knife-edge of dual class approximability
24 December 2020 by
Maria-Florina Balcan
and
others
Artificial Intelligence
,
Data Structures and Algorithms
Generalization in portfolio-based algorithm selection
24 December 2020 by
Maria-Florina Balcan
and
others
Artificial Intelligence
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Key points
Topics
Machine Learning
Data Structures and Algorithms
Artificial Intelligence
Computer Science and Game Theory
Optimization and Control
Cryptography and Security
Distributed, Parallel, and Cluster Computing
Discrete Mathematics
Information Theory
Statistics Theory
Numerical Analysis
Theoretical Economics
Computer Vision and Pattern Recognition
Neural and Evolutionary Computing
Social and Information Networks