Dino Sejdinovic
researcher ORCID ID = 0000-0001-5547-9213
Facts
10 properties- Instance of
- human
- Occupation
- researcher
- Employer
- University of Oxford[2]
- Educated at
- University of Bristol (2006–2010)[3]
- Official website
- www.stats.ox.ac.uk[8]
- Doctoral advisor
- Robert Piechocki[4]
- Doctoral student
- Qinyi Zhang[6]
- Imported from
- wholeness_audit_2026-05-02
🏷️ Also known as
en Dino Sejdinovic
🔖 Identifiers · 11
- ISNI
- 0000000426913019
- ORCID iD
- 0000-0001-5547-9213
- VIAF cluster ID
- 305712889
- OpenAlex ID
- A5040046354as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- DBLP author ID
- 31/1783
- Gateway to Research person ID
- 16601334-A6D8-4363-AA38-B238DE48C88D
- IdRef ID
- 249737930
- MR Author ID
- 1083001
- Mathematics Genealogy Project ID
- 249427
- Scopus author ID
- 24725805500
- X (Twitter) username
- sejDino (2011–present)
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 18
Bayesian Approaches to Distribution Regression,
Benign Overfitting and Noisy Features,
Causal Inference via Kernel Deviance Measures,
Deep reinforcement learning for efficient measurement of quantum devices,
DR-ABC: approximate Bayesian computation with kernel-based distribution regression,
FaIRGP: A Bayesian Energy Balance Model for Surface Temperatures Emulation,
Hyperparameter Learning via Distributional Transfer,
Kernel-Based Graph Learning From Smooth Signals: A Functional Viewpoint
+10 more
← Authored by 18
Bayesian Approaches to Distribution Regression,
Benign Overfitting and Noisy Features,
Causal Inference via Kernel Deviance Measures,
Deep reinforcement learning for efficient measurement of quantum devices,
DR-ABC: approximate Bayesian computation with kernel-based distribution regression,
FaIRGP: A Bayesian Energy Balance Model for Surface Temperatures Emulation,
Hyperparameter Learning via Distributional Transfer,
Kernel-Based Graph Learning From Smooth Signals: A Functional Viewpoint
+10 more
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