Ayush Bharti

According to our database, Ayush Bharti authored at least 14 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition.

Daolang Huang, Xinyi Wen, Ayush Bharti, Samuel Kaski, Luigi Acerbi

CoRR, June, 2025

Multilevel neural simulation-based inference.

Yuga Hikida, Ayush Bharti, Niall Jeffrey, François-Xavier Briol

CoRR, June, 2025

Robust Simulation-Based Inference under Missing Data via Neural Processes.

Yogesh Verma, Ayush Bharti, Vikas Garg

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Cost-aware simulation-based inference.

Ayush Bharti, Daolang Huang, Samuel Kaski, François-Xavier Briol

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Bayesian Active Learning in the Presence of Nuisance Parameters.

Sabina J. Sloman, Ayush Bharti, Julien Martinelli, Samuel Kaski

Proceedings of the Uncertainty in Artificial Intelligence, 2024

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

Proceedings of the Uncertainty in Artificial Intelligence, 2024

2023

The Fundamental Dilemma of Bayesian Active Meta-learning.

Sabina J. Sloman, Ayush Bharti, Samuel Kaski

CoRR, 2023

Cost-aware learning of relevant contextual variables within Bayesian optimization.

Julien Martinelli, Ayush Bharti, S. T. John, Armi Tiihonen, Sabina Sloman, Louis Filstroff, Samuel Kaski

CoRR, 2023

Learning Robust Statistics for Simulation-based Inference under Model Misspecification.

Daolang Huang, Ayush Bharti, Amauri H. Souza, Luigi Acerbi, Samuel Kaski

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Optimally-weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference.

Ayush Bharti, Masha Naslidnyk, Oscar Key, Samuel Kaski, François-Xavier Briol

Proceedings of the International Conference on Machine Learning, 2023

2022

Approximate Bayesian Computation with Domain Expert in the Loop.

Ayush Bharti, Louis Filstroff, Samuel Kaski

Proceedings of the International Conference on Machine Learning, 2022

2019

Estimator for Stochastic Channel Model without Multipath Extraction using Temporal Moments.

Ayush Bharti, Ramoni Adeogun, Troels Pedersen

Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

Calibration of Stochastic Channel Models Using Approximate Bayesian Computation.

Ayush Bharti, Troels Pedersen

Proceedings of the 2019 IEEE Globecom Workshops, Waikoloa, HI, USA, December 9-13, 2019, 2019

2018

Transfer Function Computation for Complex Indoor Channels Using Propagation Graphs.

Ramoni Adeogun, Troels Pedersen, Ayush Bharti

Proceedings of the 29th IEEE Annual International Symposium on Personal, 2018