Alex Markham

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 13

Top Topics

Causal Structure

Tractable Cases

Conditional Independence

Top Venues

Publications

Felix Leopoldo Rios, Alex Markham, Liam Solus
Scalable Structure Learning for Sparse Context-Specific Causal Systems. CoRR (2024)
Alex Markham, Mingyu Liu, Bryon Aragam, Liam Solus
Neuro-Causal Factor Analysis. CoRR (2023)
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
Queer In AI: A Case Study in Community-Led Participatory AI. FAccT (2023)
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
Queer In AI: A Case Study in Community-Led Participatory AI. CoRR (2023)
Alex Markham, Danai Deligeorgaki, Pratik Misra, Liam Solus
Causal Structure Learning with Greedy Unconditional Equivalence Search. CoRR (2022)
Alex Markham, Danai Deligeorgaki, Pratik Misra, Liam Solus
A Transformational Characterization of Unconditionally Equivalent Bayesian Networks. PGM (2022)
Alex Markham, Richeek Das, Moritz Grosse-Wentrup
A Distance Covariance-based Kernel for Nonlinear Causal Clustering in Heterogeneous Populations. CLeaR (2022)
Alex Markham, Moritz Grosse-Wentrup
A Distance Covariance-based Kernel for Nonlinear Causal Clustering in Heterogeneous Populations. CoRR (2021)
Jiachen Xu, Alex Markham, Anja Meunier, Philipp Raggam, Moritz Grosse-Wentrup
Distance Covariance: A Nonlinear Extension of Riemannian Geometry for EEG-based Brain-Computer Interfacing. SMC (2021)
Anja Meunier, Alex Markham, Moritz Grosse-Wentrup
A theory of algorithms and implementations and their relevance to cognitive science. CogSci (2021)
Alex Markham, Moritz Grosse-Wentrup
Measurement Dependence Inducing Latent Causal Models. UAI (2020)
Alex Markham, Aditya Chivukula, Moritz Grosse-Wentrup
MeDIL: A Python Package for Causal Modelling. PGM (2020)
Alex Markham, Moritz Grosse-Wentrup
Measurement Dependence Inducing Latent Causal Models. CoRR (2019)