Vitercik, Ellen

22 publications

NeurIPS 2025 Accelerating Data-Driven Algorithm Selection for Combinatorial Partitioning Problems Vaggos Chatziafratis, Ishani Karmarkar, Yingxi Li, Ellen Vitercik

ICML 2025 Algorithms with Calibrated Machine Learning Predictions Judy Hanwen Shen, Ellen Vitercik, Anders Wikum

ICML 2025 EquivaMap: Leveraging LLMs for Automatic Equivalence Checking of Optimization Formulations Haotian Zhai, Connor Lawless, Ellen Vitercik, Liu Leqi

IJCAI 2025 New Sequence-Independent Lifting Techniques for Cover Inequalities and When They Induce Facets Siddharth Prasad, Ellen Vitercik, Maria-Florina Balcan, Tuomas Sandholm

ICML 2025 Primal-Dual Neural Algorithmic Reasoning Yu He, Ellen Vitercik

ICML 2025 Wait-Less Offline Tuning and Re-Solving for Online Decision Making Jingruo Sun, Wenzhi Gao, Ellen Vitercik, Yinyu Ye

ICML 2024 MAGNOLIA: Matching Algorithms via GNNs for Online Value-to-Go Approximation Alexandre Hayderi, Amin Saberi, Ellen Vitercik, Anders Wikum

ICMLW 2024 MAGNOLIA: Matching Algorithms via GNNs for Online Value-to-Go Approximation Alexandre Hayderi, Amin Saberi, Ellen Vitercik, Anders Wikum

ICMLW 2024 Model-Agnostic Graph Dataset Compression with the Tree Mover’s Distance Mika Sarkin Jain, Stefanie Jegelka, Ishani Karmarkar, Luana Ruiz, Ellen Vitercik

ICML 2022 No-Regret Learning in Partially-Informed Auctions Wenshuo Guo, Michael Jordan, Ellen Vitercik

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

AISTATS 2021 Private Optimization Without Constraint Violations Andres Munoz, Umar Syed, Sergei Vassilvtiskii, Ellen Vitercik

AAAI 2021 Generalization in Portfolio-Based Algorithm Selection Maria-Florina Balcan, Tuomas Sandholm, Ellen Vitercik

NeurIPS 2021 Revenue Maximization via Machine Learning with Noisy Data Ellen Vitercik, Tom Yan

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

AAAI 2020 Learning to Optimize Computational Resources: Frugal Training with Generalization Guarantees Maria-Florina Balcan, Tuomas Sandholm, Ellen Vitercik

ICML 2020 Refined Bounds for Algorithm Configuration: The Knife-Edge of Dual Class Approximability Maria-Florina Balcan, Tuomas Sandholm, Ellen Vitercik

COLT 2019 Learning to Prune: Speeding up Repeated Computations Daniel Alabi, Adam Tauman Kalai, Katrina Liggett, Cameron Musco, Christos Tzamos, Ellen Vitercik

ICML 2018 Learning to Branch Maria-Florina Balcan, Travis Dick, Tuomas Sandholm, Ellen Vitercik

COLT 2017 Learning-Theoretic Foundations of Algorithm Configuration for Combinatorial Partitioning Problems Maria-Florina Balcan, Vaishnavh Nagarajan, Ellen Vitercik, Colin White

COLT 2016 Learning Combinatorial Functions from Pairwise Comparisons Maria-Florina Balcan, Ellen Vitercik, Colin White

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