Alex Markham - RankMe

16 papers A 1B 2Journal 9Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Coarsening Causal DAG Models. CoRR Francisco Madaleno, Pratik Misra, Alex Markham
2025	J	`jnl`	Addressing pitfalls in implicit unobserved confounding synthesis using explicit block hierarchical ancestral sampling. CoRR Xudong Sun, Alex Markham, Pratik Misra, Carsten Marr
2025	J	`jnl`	Intervening to learn and compose disentangled representations. CoRR Alex Markham, Jeri A. Chang, Isaac Hirsch, Liam Solus, Bryon Aragam
2024	J	`jnl`	Scalable Structure Learning for Sparse Context-Specific Causal Systems. CoRR Felix Leopoldo Rios, Alex Markham, Liam Solus
2023	J	`jnl`	Neuro-Causal Factor Analysis. CoRR Alex Markham, Mingyu Liu, Bryon Aragam, Liam Solus
2023	—	`conf`	Queer In AI: A Case Study in Community-Led Participatory AI. FAccT Organizers Of QueerInAI, Anaelia Ovalle, Arjun Subramonian, Ashwin Singh, Claas Voelcker, Danica J. Sutherland, Davide Locatelli, Eva Breznik, Filip Klubicka, Hang Yuan, Hetvi Jethwani, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Milind Agarwal, Nyx McLean, Pan Xu, A Pranav, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew McNamara, Raphael Gontijo Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark
2023	J	`jnl`	Queer In AI: A Case Study in Community-Led Participatory AI. CoRR Anaelia Ovalle, Arjun Subramonian, Ashwin Singh, Claas Voelcker, Danica J. Sutherland, Davide Locatelli, Eva Breznik, Filip Klubicka, Hang Yuan, Hetvi Jethwani, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Milind Agarwal, Nyx McLean, Pan Xu, A Pranav, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew McNamara, Raphael Gontijo Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark
2022	—	`conf`	A Distance Covariance-based Kernel for Nonlinear Causal Clustering in Heterogeneous Populations. CLeaR Alex Markham, Richeek Das, Moritz Grosse-Wentrup
2022	—	`conf`	A Transformational Characterization of Unconditionally Equivalent Bayesian Networks. PGM Alex Markham, Danai Deligeorgaki, Pratik Misra, Liam Solus
2022	J	`jnl`	Causal Structure Learning with Greedy Unconditional Equivalence Search. CoRR Alex Markham, Danai Deligeorgaki, Pratik Misra, Liam Solus
2021	J	`jnl`	A Distance Covariance-based Kernel for Nonlinear Causal Clustering in Heterogeneous Populations. CoRR Alex Markham, Moritz Grosse-Wentrup
2021	B	`conf`	A theory of algorithms and implementations and their relevance to cognitive science. CogSci Anja Meunier, Alex Markham, Moritz Grosse-Wentrup
2021	B	`conf`	Distance Covariance: A Nonlinear Extension of Riemannian Geometry for EEG-based Brain-Computer Interfacing. SMC Jiachen Xu, Alex Markham, Anja Meunier, Philipp Raggam, Moritz Grosse-Wentrup
2020	—	`conf`	MeDIL: A Python Package for Causal Modelling. PGM Alex Markham, Aditya Chivukula, Moritz Grosse-Wentrup
2020	A	`conf`	Measurement Dependence Inducing Latent Causal Models. UAI Alex Markham, Moritz Grosse-Wentrup
2019	J	`jnl`	Measurement Dependence Inducing Latent Causal Models. CoRR Alex Markham, Moritz Grosse-Wentrup