| 2025 | ICML | Scalable Gaussian Processes with Latent Kronecker Structure. | Jihao Andreas Lin, Sebastian Ament, Maximilian Balandat, David Eriksson, Jos Miguel Hernndez-Lobato, Eytan Bakshy |
| 2023 | AISTATS | Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings. | Aryan Deshwal, Sebastian Ament, Maximilian Balandat, Eytan Bakshy, Janardhan Rao Doppa, David Eriksson |
| 2022 | ICASSP | Generalized Matching Pursuits for the Sparse Optimization of Separable Objectives. | Sebastian Ament, Carla P. Gomes |
| 2021 | ICASSP | On the Optimality of Backward Regression: Sparse Recovery and Subset Selection. | Sebastian Ament, Carla P. Gomes |
| 2020 | ICML | Deep Reasoning Networks for Unsupervised Pattern De-mixing with Constraint Reasoning. | Di Chen, Yiwei Bai, Wenting Zhao, Sebastian Ament, John M. Gregoire, Carla P. Gomes |
| 2018 | CPAIOR | An Efficient Relaxed Projection Method for Constrained Non-negative Matrix Factorization with Application to the Phase-Mapping Problem in Materials Science. | Junwen Bai, Sebastian Ament, Guillaume Perez, John M. Gregoire, Carla P. Gomes |