Balcan, Maria-Florina F

25 publications

NeurIPS 2023 Bicriteria Multidimensional Mechanism Design with Side Information Siddharth Prasad, Maria-Florina F Balcan, Tuomas Sandholm

NeurIPS 2023 Learning with Explanation Constraints Rattana Pukdee, Dylan Sam, J. Zico Kolter, Maria-Florina F Balcan, Pradeep K. Ravikumar

NeurIPS 2023 Meta-Learning Adversarial Bandit Algorithms Misha Khodak, Ilya Osadchiy, Keegan Harris, Maria-Florina F Balcan, Kfir Y. Levy, Ron Meir, Steven Z. Wu

NeurIPS 2023 New Bounds for Hyperparameter Tuning of Regression Problems Across Instances Maria-Florina F Balcan, Anh Nguyen, Dravyansh Sharma

NeurIPS 2023 Reliable Learning in Challenging Environments Maria-Florina F Balcan, Steve Hanneke, Rattana Pukdee, Dravyansh Sharma

NeurIPS 2022 Learning Predictions for Algorithms with Predictions Misha Khodak, Maria-Florina F Balcan, Ameet Talwalkar, Sergei Vassilvitskii

NeurIPS 2022 Maximizing Revenue Under Market Shrinkage and Market Uncertainty Maria-Florina F Balcan, Siddharth Prasad, Tuomas Sandholm

NeurIPS 2022 Provably Tuning the ElasticNet Across Instances Maria-Florina F Balcan, Misha Khodak, Dravyansh Sharma, Ameet Talwalkar

NeurIPS 2022 Structural Analysis of Branch-and-Cut and the Learnability of Gomory Mixed Integer Cuts Maria-Florina F Balcan, Siddharth Prasad, Tuomas Sandholm, Ellen Vitercik

NeurIPS 2021 Data Driven Semi-Supervised Learning Maria-Florina F Balcan, Dravyansh Sharma

NeurIPS 2021 Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing Mikhail Khodak, Renbo Tu, Tian Li, Liam Li, Maria-Florina F Balcan, Virginia Smith, Ameet Talwalkar

NeurIPS 2021 Learning-to-Learn Non-Convex Piecewise-Lipschitz Functions Maria-Florina F Balcan, Mikhail Khodak, Dravyansh Sharma, Ameet Talwalkar

NeurIPS 2021 Sample Complexity of Tree Search Configuration: Cutting Planes and Beyond Maria-Florina F Balcan, Siddharth Prasad, Tuomas Sandholm, Ellen Vitercik

NeurIPS 2019 Adaptive Gradient-Based Meta-Learning Methods Mikhail Khodak, Maria-Florina F Balcan, Ameet S Talwalkar

NeurIPS 2019 Envy-Free Classification Maria-Florina F Balcan, Travis Dick, Ritesh Noothigattu, Ariel D Procaccia

NeurIPS 2018 Data-Driven Clustering via Parameterized Lloyd's Families Maria-Florina F Balcan, Travis Dick, Colin White

NeurIPS 2017 Sample and Computationally Efficient Learning Algorithms Under S-Concave Distributions Maria-Florina F Balcan, Hongyang Zhang

NeurIPS 2016 Noise-Tolerant Life-Long Matrix Completion via Adaptive Sampling Maria-Florina F Balcan, Hongyang Zhang

NeurIPS 2016 Sample Complexity of Automated Mechanism Design Maria-Florina F Balcan, Tuomas Sandholm, Ellen Vitercik

NeurIPS 2014 Active Learning and Best-Response Dynamics Maria-Florina F Balcan, Christopher Berlind, Avrim Blum, Emma Cohen, Kaushik Patnaik, Le Song

NeurIPS 2014 Improved Distributed Principal Component Analysis Yingyu Liang, Maria-Florina F Balcan, Vandana Kanchanapally, David Woodruff

NeurIPS 2014 Learning Time-Varying Coverage Functions Nan Du, Yingyu Liang, Maria-Florina F Balcan, Le Song

NeurIPS 2014 Scalable Kernel Methods via Doubly Stochastic Gradients Bo Dai, Bo Xie, Niao He, Yingyu Liang, Anant Raj, Maria-Florina F Balcan, Le Song

NeurIPS 2013 Distributed $k$-Means and $k$-Median Clustering on General Topologies Maria-Florina F Balcan, Steven Ehrlich, Yingyu Liang

NeurIPS 2013 Statistical Active Learning Algorithms Maria-Florina F Balcan, Vitaly Feldman