Kailash Budhathoki
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
6
Active years
2016–2024
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | AISTATS | Quantifying intrinsic causal contributions via structure preserving interventions. | Dominik Janzing, Patrick Blbaum, Atalanti-Anastasia Mastakouri, Philipp Michael Faller, Lenon Minorics, Kailash Budhathoki |
| 2024 | KDD | Inference Optimization of Foundation Models on AI Accelerators. | Youngsuk Park, Kailash Budhathoki, Liangfu Chen, Jonas M. Kbler, Jiaji Huang, Matthus Kleindessner, Jun Huan, Volkan Cevher, Yida Wang, George Karypis |
| 2023 | AIES | Evaluating the Fairness of Discriminative Foundation Models in Computer Vision. | Junaid Ali, Matthus Kleindessner, Florian Wenzel, Kailash Budhathoki, Volkan Cevher, Chris Russell |
| 2022 | ICML | Causal structure-based root cause analysis of outliers. | Kailash Budhathoki, Lenon Minorics, Patrick Blbaum, Dominik Janzing |
| 2021 | AISTATS | Why did the distribution change? | Kailash Budhathoki, Dominik Janzing, Patrick Blbaum, Hoiyi Ng |
| 2021 | SDM | Discovering Reliable Causal Rules. | Kailash Budhathoki, Mario Boley, Jilles Vreeken |
| 2018 | ICDM | Accurate Causal Inference on Discrete Data. | Kailash Budhathoki, Jilles Vreeken |
| 2018 | SDM | Causal Inference on Event Sequences. | Kailash Budhathoki, Jilles Vreeken |
| 2017 | ICDM | MDL for Causal Inference on Discrete Data. | Kailash Budhathoki, Jilles Vreeken |
| 2017 | SDM | Correlation by Compression. | Kailash Budhathoki, Jilles Vreeken |
| 2016 | ICDM | Causal Inference by Compression. | Kailash Budhathoki, Jilles Vreeken |