Anish Dhir

11 papers A* 4Journal 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Use What You Know: Causal Foundation Models with Partial Graphs. CoRR Arik Reuter, Anish Dhir, Cristiana Diaconu, Jake Robertson, Ole Ossen, Frank Hutter, Adrian Weller, Mark van der Wilk, Bernhard Schölkopf
2025	A*	`conf`	A Meta-Learning Approach to Bayesian Causal Discovery. ICLR Anish Dhir, Matthew Ashman, James Requeima, Mark van der Wilk
2025	A*	`conf`	Continuous Bayesian Model Selection for Multivariate Causal Discovery. ICML Anish Dhir, Ruby Sedgwick, Avinash Kori, Ben Glocker, Mark van der Wilk
2025	J	`jnl`	Estimating Interventional Distributions with Uncertain Causal Graphs through Meta-Learning. CoRR Anish Dhir, Cristiana Diaconu, Valentinian Mihai Lungu, James Requeima, Richard E. Turner, Mark van der Wilk
2024	J	`jnl`	A Meta-Learning Approach to Bayesian Causal Discovery. CoRR Anish Dhir, Matthew Ashman, James Requeima, Mark van der Wilk
2024	A*	`conf`	Bivariate Causal Discovery using Bayesian Model Selection. ICML Anish Dhir, Samuel Power, Mark van der Wilk
2024	J	`jnl`	Continuous Bayesian Model Selection for Multivariate Causal Discovery. CoRR Anish Dhir, Ruby Sedgwick, Avinash Kori, Ben Glocker, Mark van der Wilk
2023	J	`jnl`	Causal Discovery using Bayesian Model Selection. CoRR Anish Dhir, Mark van der Wilk
2022	J	`jnl`	Generalization bounds and algorithms for estimating conditional average treatment effect of dosage. CoRR Alexis Bellot, Anish Dhir, Giulia Prando
2020	A*	`conf`	Integrating Overlapping Datasets Using Bivariate Causal Discovery. AAAI Anish Dhir, Ciarán M. Lee
2019	J	`jnl`	Integrating overlapping datasets using bivariate causal discovery. CoRR Anish Dhir, Ciarán M. Lee