Aaron M. Ferber

36 papers A* 11A 3B 4C 2Journal 16

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Unsupervised Combinatorial Probabilistic Reasoning: Probabilistic Coin Change Problem. AAAI Zhongdi Qu, Yingheng Wang, Utku Umur Acikalin, Aaron M. Ferber, Goncalo J. Gouveia, Brandon Bills, Guohui Li, Joshua Kline, Sunandini Yedla, Xiao Wang, Frank C. Schroeder, Carla P. Gomes
2025	A*	`conf`	Constraint-aware Pareto Optimization for Tree-Structured Networks: Addressing Decarbonization Targets with Hydropower Expansion. AAAI Marc Grimson, Zhongdi Qu, Yue Mao, Aaron M. Ferber, Felipe Siqueira Pacheco, Sebastian Heilpern, Hector Angarita, Alexander Flecker, Carla P. Gomes
2025	A	`conf`	Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints. AISTATS Lingkai Kong, Yuanqi Du, Wenhao Mu, Kirill Neklyudov, Valentin De Bortoli, Dongxia Wu, Haorui Wang, Aaron M. Ferber, Yian Ma, Carla P. Gomes, Chao Zhang
2025	A*	`conf`	Expanding Connected Components from Alternative Terminals: Global Optimization for Freshwater Fishes Under the UN's 30x30 Conservation Goal. IJCAI Yue Mao, Zhongdi Qu, Imanol Miqueleiz, Aaron M. Ferber, Sami Wolf, Marc Grimson, Sebastian Heilpern, Felipe Siqueira Pacheco, Alexander S. Flecker, Peter B. McIntyre, Carla P. Gomes
2025	A*	`conf`	Learning to Explore and Exploit with GNNs for Unsupervised Combinatorial Optimization. ICLR Utku Umur Acikalin, Aaron M. Ferber, Carla P. Gomes
2024	J	`jnl`	AiSciVision: A Framework for Specializing Large Multimodal Models in Scientific Image Classification. CoRR Brendan Hogan, Anmol Kabra, Felipe Siqueira Pacheco, Laura Greenstreet, Joshua Fan, Aaron M. Ferber, Marta Ummus, Alecsander Brito, Olivia J. Graham, Lillian R. Aoki, Drew Harvell, Alex Flecker, Carla P. Gomes
2024	A*	`conf`	Contrastive Predict-and-Search for Mixed Integer Linear Programs. ICML Taoan Huang, Aaron M. Ferber, Arman Zharmagambetov, Yuandong Tian, Bistra Dilkina
2024	C	`conf`	Critic Loss for Image Classification. ICMLA Brendan Hogan Rappazzo, Aaron M. Ferber, Carla Gomes
2024	J	`jnl`	Critic Loss for Image Classification. CoRR Brendan H. Rappazzo, Aaron M. Ferber, Carla P. Gomes
2024	J	`jnl`	Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints. CoRR Lingkai Kong, Yuanqi Du, Wenhao Mu, Kirill Neklyudov, Valentin De Bortoli, Haorui Wang, Dongxia Wu, Aaron M. Ferber, Yi-An Ma, Carla P. Gomes, Chao Zhang
2024	J	`jnl`	Distributional MIPLIB: a Multi-Domain Library for Advancing ML-Guided MILP Methods. CoRR Weimin Huang, Taoan Huang, Aaron M. Ferber, Bistra Dilkina
2024	J	`jnl`	GEM-RAG: Graphical Eigen Memories For Retrieval Augmented Generation. CoRR Brendan H. Rappazzo, Yingheng Wang, Aaron M. Ferber, Carla P. Gomes
2024	C	`conf`	GEM-RAG: Graphical Eigen Memories for Retrieval Augmented Generation. ICMLA Brendan Hogan Rappazzo, Yingheng Wang, Aaron M. Ferber, Carla Gomes
2024	A*	`conf`	GenCO: Generating Diverse Designs with Combinatorial Constraints. ICML Aaron M. Ferber, Arman Zharmagambetov, Taoan Huang, Bistra Dilkina, Yuandong Tian
2024	A	`conf`	Learning Lagrangian Multipliers for the Travelling Salesman Problem. CP Augustin Parjadis, Quentin Cappart, Bistra Dilkina, Aaron M. Ferber, Louis-Martin Rousseau
2023	J	`jnl`	Erratum to "Budgeted Prize-Collecting Traveling Salesman and Minimum Spanning Tree Problems". Math. Oper. Res. Alice Paul, Daniel Freund, Aaron M. Ferber, David B. Shmoys, David P. Williamson
2023	J	`jnl`	GenCO: Generating Diverse Solutions to Design Problems with Combinatorial Nature. CoRR Aaron M. Ferber, Arman Zharmagambetov, Taoan Huang, Bistra Dilkina, Yuandong Tian
2023	A*	`conf`	Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information. NeurIPS Arman Zharmagambetov, Brandon Amos, Aaron M. Ferber, Taoan Huang, Bistra Dilkina, Yuandong Tian
2023	J	`jnl`	Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information. CoRR Arman Zharmagambetov, Brandon Amos, Aaron M. Ferber, Taoan Huang, Bistra Dilkina, Yuandong Tian
2023	J	`jnl`	Learning Lagrangian Multipliers for the Travelling Salesman Problem. CoRR Augustin Parjadis, Quentin Cappart, Bistra Dilkina, Aaron M. Ferber, Louis-Martin Rousseau
2023	B	`conf`	Local Branching Relaxation Heuristics for Integer Linear Programs. CPAIOR Taoan Huang, Aaron M. Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner
2023	B	`conf`	Predicting Wildlife Trafficking Routes with Differentiable Shortest Paths. CPAIOR Aaron M. Ferber, Emily Griffin, Bistra Dilkina, Burcu B. Keskin, Meredith Gore
2023	A*	`conf`	Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning. ICML Taoan Huang, Aaron M. Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner
2023	J	`jnl`	Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning. CoRR Taoan Huang, Aaron M. Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner
2023	A*	`conf`	SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems. ICML Aaron M. Ferber, Taoan Huang, Daochen Zha, Martin Schubert, Benoit Steiner, Bistra Dilkina, Yuandong Tian
2022	B	`conf`	Learning Pseudo-Backdoors for Mixed Integer Programs. CPAIOR Aaron M. Ferber, Jialin Song, Bistra Dilkina, Yisong Yue
2022	J	`jnl`	Local Branching Relaxation Heuristics for Integer Linear Programs. CoRR Taoan Huang, Aaron M. Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner
2022	J	`jnl`	SurCo: Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems. CoRR Aaron M. Ferber, Taoan Huang, Daochen Zha, Martin Schubert, Benoit Steiner, Bistra Dilkina, Yuandong Tian
2021	A*	`conf`	Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation. AAAI Umang Gupta, Aaron M. Ferber, Bistra Dilkina, Greg Ver Steeg
2021	J	`jnl`	Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation. CoRR Umang Gupta, Aaron M. Ferber, Bistra Dilkina, Greg Ver Steeg
2021	B	`conf`	Learning Pseudo-Backdoors for Mixed Integer Programs. SOCS Aaron M. Ferber, Jialin Song, Bistra Dilkina, Yisong Yue
2021	J	`jnl`	Learning Pseudo-Backdoors for Mixed Integer Programs. CoRR Aaron M. Ferber, Jialin Song, Bistra Dilkina, Yisong Yue
2020	J	`jnl`	Budgeted Prize-Collecting Traveling Salesman and Minimum Spanning Tree Problems. Math. Oper. Res. Alice Paul, Daniel Freund, Aaron M. Ferber, David B. Shmoys, David P. Williamson
2020	A*	`conf`	MIPaaL: Mixed Integer Program as a Layer. AAAI Aaron M. Ferber, Bryan Wilder, Bistra Dilkina, Milind Tambe
2019	J	`jnl`	MIPaaL: Mixed Integer Program as a Layer. CoRR Aaron M. Ferber, Bryan Wilder, Bistra Dilkina, Milind Tambe
2017	A	`conf`	Prize-Collecting TSP with a Budget Constraint. ESA Alice Paul, Daniel Freund, Aaron M. Ferber, David B. Shmoys, David P. Williamson