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researcher

M. Lazuka

3 papers hereh-index 352 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.DC2
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20202024
most citedSnapBoost: A Heterogeneous Boosting Machine

2 citations · 4 across the 3 of their papers we have counts for

collaborators

3 papers

cs.DC2024★ 1 cited

LLM-Pilot: Characterize and Optimize Performance of your LLM Inference Services

Małgorzata Łazuka, Andreea Anghel, Thomas Parnell

As Large Language Models (LLMs) are rapidly growing in popularity, LLM inference services must be able to serve requests from thousands of users while satisfying performance requir…

cs.DC2022★ 1 cited

Search-based Methods for Multi-Cloud Configuration

Małgorzata Łazuka, Thomas Parnell, Andreea Anghel +1

Multi-cloud computing has become increasingly popular with enterprises looking to avoid vendor lock-in. While most cloud providers offer similar functionality, they may differ sign…

cs.LG2020★ 2 cited

SnapBoost: A Heterogeneous Boosting Machine

Thomas Parnell, Andreea Anghel, Malgorzata Lazuka +5

Modern gradient boosting software frameworks, such as XGBoost and LightGBM, implement Newton descent in a functional space. At each boosting iteration, their goal is to find the ba…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.