| 2025 | AISTATS | Cost-aware simulation-based inference. | Ayush Bharti, Daolang Huang, Samuel Kaski, Franois-Xavier Briol |
| 2025 | ICLR | Robust Simulation-Based Inference under Missing Data via Neural Processes. | Yogesh Verma, Ayush Bharti, Vikas Garg |
| 2024 | UAI | Learning relevant contextual variables within Bayesian optimization. | Julien Martinelli, Ayush Bharti, Armi Tiihonen, S. T. John, Louis Filstroff, Sabina J. Sloman, Patrick Rinke, Samuel Kaski |
| 2024 | UAI | Bayesian Active Learning in the Presence of Nuisance Parameters. | Sabina J. Sloman, Ayush Bharti, Julien Martinelli, Samuel Kaski |
| 2023 | ICML | Optimally-weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference. | Ayush Bharti, Masha Naslidnyk, Oscar Key, Samuel Kaski, Franois-Xavier Briol |
| 2022 | ICML | Approximate Bayesian Computation with Domain Expert in the Loop. | Ayush Bharti, Louis Filstroff, Samuel Kaski |
| 2019 | GLOBECOM | Calibration of Stochastic Channel Models Using Approximate Bayesian Computation. | Ayush Bharti, Troels Pedersen |
| 2018 | PIMRC | Transfer Function Computation for Complex Indoor Channels Using Propagation Graphs. | Ramoni Adeogun, Troels Pedersen, Ayush Bharti |