Zharmagambetov, Arman

14 publications

ICML 2025 AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs Anselm Paulus, Arman Zharmagambetov, Chuan Guo, Brandon Amos, Yuandong Tian

NeurIPS 2025 AgentDAM: Privacy Leakage Evaluation for Autonomous Web Agents Arman Zharmagambetov, Chuan Guo, Ivan Evtimov, Maya Pavlova, Ruslan Salakhutdinov, Kamalika Chaudhuri

NeurIPS 2025 AlgoTune: Can Language Models Speed up General-Purpose Numerical Programs? Ori Press, Brandon Amos, Haoyu Zhao, Yikai Wu, Samuel Ainsworth, Dominik Krupke, Patrick Kidger, Touqir Sajed, Bartolomeo Stellato, Jisun Park, Nathanael Bosch, Eli Meril, Albert Steppi, Arman Zharmagambetov, Fangzhao Zhang, David Pérez-Piñeiro, Alberto Mercurio, Ni Zhan, Talor Abramovich, Kilian Lieret, Hanlin Zhang, Shirley Huang, Matthias Bethge, Ofir Press

NeurIPS 2025 WASP: Benchmarking Web Agent Security Against Prompt Injection Attacks Ivan Evtimov, Arman Zharmagambetov, Aaron Grattafiori, Chuan Guo, Kamalika Chaudhuri

ICML 2024 Beyond the ROC Curve: Classification Trees Using Cost-Optimal Curves, with Application to Imbalanced Datasets Magzhan Gabidolla, Arman Zharmagambetov, Miguel Á. Carreira-Perpiñán

ICML 2024 Contrastive Predict-and-Search for Mixed Integer Linear Programs Taoan Huang, Aaron M Ferber, Arman Zharmagambetov, Yuandong Tian, Bistra Dilkina

ICML 2024 GenCO: Generating Diverse Designs with Combinatorial Constraints Aaron M Ferber, Arman Zharmagambetov, Taoan Huang, Bistra Dilkina, Yuandong Tian

NeurIPSW 2023 Contrastive Predict-and-Search for Mixed Integer Linear Programs Taoan Huang, Aaron M Ferber, Arman Zharmagambetov, Yuandong Tian, Bistra Dilkina

NeurIPS 2023 Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information Arman Zharmagambetov, Brandon Amos, Aaron Ferber, Taoan Huang, Bistra Dilkina, Yuandong Tian

ICMLW 2023 Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information Arman Zharmagambetov, Brandon Amos, Aaron M Ferber, Taoan Huang, Bistra Dilkina, Yuandong Tian

ICMLW 2023 Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information Arman Zharmagambetov, Brandon Amos, Aaron M Ferber, Taoan Huang, Bistra Dilkina, Yuandong Tian

CVPR 2023 Towards Better Decision Forests: Forest Alternating Optimization Miguel Á. Carreira-Perpiñán, Magzhan Gabidolla, Arman Zharmagambetov

NeurIPS 2022 Semi-Supervised Learning with Decision Trees: Graph Laplacian Tree Alternating Optimization Arman Zharmagambetov, Miguel A. Carreira-Perpinan

ICML 2020 Smaller, More Accurate Regression Forests Using Tree Alternating Optimization Arman Zharmagambetov, Miguel Carreira-Perpinan