Anish Dhir

According to our database, Anish Dhir authored at least 9 papers between 2020 and 2026.

Collaborative distances:

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

2026

PRIM: Meta-Learned Bayesian Root Cause Analysis.

Christopher Lohse, Anish Dhir, Amadou Ba, Bradley Eck, Marco Ruffini, Jonas Wahl

CoRR, May, 2026

Use What You Know: Causal Foundation Models with Partial Graphs.

Arik Reuter, Anish Dhir, Cristiana Diaconu, Jake Robertson, Ole Ossen, Frank Hutter, Adrian Weller, Mark van der Wilk, Bernhard Schölkopf

CoRR, February, 2026

2025

Estimating Interventional Distributions with Uncertain Causal Graphs through Meta-Learning.

Anish Dhir, Cristiana Diaconu, Valentinian Lungu, James Requeima, Richard E. Turner, Mark van der Wilk

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Continuous Bayesian Model Selection for Multivariate Causal Discovery.

Anish Dhir, Ruby Sedgwick, Avinash Kori, Ben Glocker, Mark van der Wilk

Proceedings of the Forty-second International Conference on Machine Learning, 2025

A Meta-Learning Approach to Bayesian Causal Discovery.

Anish Dhir, Matthew Ashman, James Requeima, Mark van der Wilk

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Bivariate Causal Discovery using Bayesian Model Selection.

Anish Dhir, Samuel Power, Mark van der Wilk

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Causal Discovery using Bayesian Model Selection.

Anish Dhir, Mark van der Wilk

CoRR, 2023

2022

Generalization bounds and algorithms for estimating conditional average treatment effect of dosage.

Alexis Bellot, Anish Dhir, Giulia Prando

CoRR, 2022

2020

Integrating Overlapping Datasets Using Bivariate Causal Discovery.

Anish Dhir, Ciarán M. Lee

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020