Budhathoki, Kailash

8 publications

TMLR 2025 A Proximal Operator for Inducing 2:4-Sparsity Jonas M. Kübler, Yu-Xiang Wang, Shoham Sabach, Navid Ansari, Matthäus Kleindessner, Kailash Budhathoki, Volkan Cevher, George Karypis

NeurIPS 2025 Block-Diagonal LoRA for Eliminating Communication Overhead in Tensor Parallel LoRA Serving Xinyu Wang, Jonas M. Kübler, Kailash Budhathoki, Yida Wang, Matthäus Kleindessner

MLOSS 2024 DoWhy-GCM: An Extension of DoWhy for Causal Inference in Graphical Causal Models Patrick Blöbaum, Peter Götz, Kailash Budhathoki, Atalanti A. Mastakouri, Dominik Janzing

CLeaR 2024 Meaningful Causal Aggregation and Paradoxical Confounding Yuchen Zhu, Kailash Budhathoki, Jonas M. Kübler, Dominik Janzing

AISTATS 2024 Quantifying Intrinsic Causal Contributions via Structure Preserving Interventions Dominik Janzing, Patrick Blöbaum, Atalanti A Mastakouri, Philipp M Faller, Lenon Minorics, Kailash Budhathoki

ICML 2022 Causal Structure-Based Root Cause Analysis of Outliers Kailash Budhathoki, Lenon Minorics, Patrick Bloebaum, Dominik Janzing

AISTATS 2021 Why Did the Distribution Change? Kailash Budhathoki, Dominik Janzing, Patrick Bloebaum, Hoiyi Ng

ECML-PKDD 2015 The Difference and the Norm - Characterising Similarities and Differences Between Databases Kailash Budhathoki, Jilles Vreeken