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Kailash Budhathoki
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2020 – today
- 2024
- [j2]Patrick Blöbaum, Peter Götz, Kailash Budhathoki, Atalanti-Anastasia Mastakouri, Dominik Janzing:
DoWhy-GCM: An Extension of DoWhy for Causal Inference in Graphical Causal Models. J. Mach. Learn. Res. 25: 147:1-147:7 (2024) - [c14]Dominik Janzing, Patrick Blöbaum, Atalanti-Anastasia Mastakouri, Philipp Michael Faller, Lenon Minorics, Kailash Budhathoki:
Quantifying intrinsic causal contributions via structure preserving interventions. AISTATS 2024: 2188-2196 - [c13]Yuchen Zhu, Kailash Budhathoki, Jonas M. Kübler, Dominik Janzing:
Meaningful Causal Aggregation and Paradoxical Confounding. CLeaR 2024: 1192-1217 - [c12]Youngsuk Park
, Kailash Budhathoki
Inference Optimization of Foundation Models on AI Accelerators. KDD 2024: 6605-6615 - [i10]Youngsuk Park, Kailash Budhathoki, Liangfu Chen, Jonas M. Kübler, Jiaji Huang, Matthäus Kleindessner, Jun Huan, Volkan Cevher, Yida Wang, George Karypis:
Inference Optimization of Foundation Models on AI Accelerators. CoRR abs/2407.09111 (2024) - [i9]David Hoffmann, Kailash Budhathoki, Matthäus Kleindessner:
LLM-Rank: A Graph Theoretical Approach to Pruning Large Language Models. CoRR abs/2410.13299 (2024) - 2023
- [c11]Junaid Ali
Evaluating the Fairness of Discriminative Foundation Models in Computer Vision. AIES 2023: 809-833 - [i8]Yuchen Zhu, Kailash Budhathoki, Jonas M. Kübler, Dominik Janzing:
Meaningful Causal Aggregation and Paradoxical Confounding. CoRR abs/2304.11625 (2023) - [i7]Junaid Ali, Matthäus Kleindessner, Florian Wenzel, Kailash Budhathoki, Volkan Cevher, Chris Russell:
Evaluating the Fairness of Discriminative Foundation Models in Computer Vision. CoRR abs/2310.11867 (2023) - 2022
- [c10]Kailash Budhathoki, Lenon Minorics, Patrick Blöbaum, Dominik Janzing:
Causal structure-based root cause analysis of outliers. ICML 2022: 2357-2369 - [i6]Patrick Blöbaum, Peter Götz, Kailash Budhathoki, Atalanti-Anastasia Mastakouri, Dominik Janzing:
DoWhy-GCM: An extension of DoWhy for causal inference in graphical causal models. CoRR abs/2206.06821 (2022) - [i5]Kailash Budhathoki, George Michailidis, Dominik Janzing:
Explaining the root causes of unit-level changes. CoRR abs/2206.12986 (2022) - 2021
- [c9]Kailash Budhathoki, Dominik Janzing, Patrick Blöbaum, Hoiyi Ng:
Why did the distribution change? AISTATS 2021: 1666-1674 - [c8]Kailash Budhathoki, Mario Boley, Jilles Vreeken:
Discovering Reliable Causal Rules. SDM 2021: 1-9 - [i4]Kailash Budhathoki, Dominik Janzing, Patrick Blöbaum, Hoiyi Ng:
Why did the distribution change? CoRR abs/2102.13384 (2021) - 2020
- [b1]Kailash Budhathoki:
Causal inference on discrete data. Saarland University, Germany, 2020 - [i3]Kailash Budhathoki, Mario Boley, Jilles Vreeken:
Discovering Reliable Causal Rules. CoRR abs/2009.02728 (2020)
2010 – 2019
- 2019
- [i2]Dominik Janzing, Kailash Budhathoki, Lenon Minorics, Patrick Blöbaum:
Causal structure based root cause analysis of outliers. CoRR abs/1912.02724 (2019) - 2018
- [j1]Kailash Budhathoki
Origo: causal inference by compression. Knowl. Inf. Syst. 56(2): 285-307 (2018) - [c7]Kailash Budhathoki, Jilles Vreeken
Accurate Causal Inference on Discrete Data. ICDM 2018: 881-886 - [c6]Stefan Neumann, Julian Ritter, Kailash Budhathoki:
Ranking the Teams in European Football Leagues with Agony. MLSA@PKDD/ECML 2018: 55-66 - [c5]Kailash Budhathoki, Jilles Vreeken
Causal Inference on Event Sequences. SDM 2018: 55-63 - 2017
- [c4]Kailash Budhathoki, Jilles Vreeken
MDL for Causal Inference on Discrete Data. ICDM 2017: 751-756 - [c3]Kailash Budhathoki, Jilles Vreeken
Correlation by Compression. SDM 2017: 525-533 - [i1]Kailash Budhathoki, Jilles Vreeken:
Causal Inference by Stochastic Complexity. CoRR abs/1702.06776 (2017) - 2016
- [c2]Kailash Budhathoki, Jilles Vreeken:
Causal Inference by Compression. ICDM 2016: 41-50 - 2015
- [c1]Kailash Budhathoki, Jilles Vreeken
The Difference and the Norm - Characterising Similarities and Differences Between Databases. ECML/PKDD (2) 2015: 206-223
Coauthor Index
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last updated on 2024-11-25 23:45 CET by the dblp team
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