Scholar
Tomasz Kuśmierczyk
Google Scholar ID: kpDCshMAAAAJ
University of Helsinki
Citations & Impact
Citations
219
H-index
10
i10-index
10
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Published numerous papers in prestigious international journals and conferences such as JMLR, ACML, AAAI, NeurIPS, WWW, covering a wide range of topics including but not limited to:
- - Prior specification for Bayesian matrix factorization
- - Reliable categorical variational inference
- - Uplift modeling
- - Correcting predictions for approximate Bayesian inference
- - Variational Bayesian decision-making for continuous utilities
- - Online food recipe title semantics
- - Computational approach to dendritic spine taxonomy and shape transition analysis
- - Gender differences in online cooking
- - And more.
Research Experience
- Involved in multiple research projects, including but not limited to:
- - Investigating online food recipe upload behavior
- - Validating and predicting the influence of digital badges on individual users
- - Mining correlations on massive bursty time series collections
- - Analyzing temporality in online food recipe consumption and production, etc.
Background
- A computer scientist interested in applied machine learning. Currently, working on a project focused on balancing priors and learning biases to improve Bayesian Neural Networks.
Miscellany
- Contact: tomasz [dot] kusmierczyk [at] gmail.com; Active on platforms like GitHub, LinkedIn, Google Scholar, DBLP; Conducted several presentations on topics related to variational inference, causal effects, etc.
Co-authors