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researcher

Miloš Hauskrecht

4 papers here

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

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.AI1
ORCID 0000-0002-7818-0633

identity via Semantic Scholar / OpenAlex

activity
20112026
most citedSolving Factored MDPs with Hybrid State and Action Variables

52 citations · 68 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2026★ 14 cited

Conditional anomaly detection methods for patient-management alert systems

Michal Valko, Gregory Cooper, Amy Seybert +3

Anomaly detection methods can be very useful in identifying unusual or interesting patterns in data. A recently proposed conditional anomaly detection framework extends anomaly det…

cs.LG2026★ 2 cited

Distance metric learning for conditional anomaly detection

Michal Valko, Milos Hauskrecht

Anomaly detection methods can be very useful in identifying unusual or interesting patterns in data. A recently proposed conditional anomaly detection framework extends anomaly det…

cs.LG2022

Learning to Adapt Clinical Sequences with Residual Mixture of Experts

Jeong Min Lee, Milos Hauskrecht

Clinical event sequences in Electronic Health Records (EHRs) record detailed information about the patient condition and patient care as they occur in time. Recent years have witne…

cs.AI2011★ 52 cited

Solving Factored MDPs with Hybrid State and Action Variables

C. Guestrin, M. Hauskrecht, B. Kveton

Efficient representations and solutions for large decision problems with continuous and discrete variables are among the most important challenges faced by the designers of automat…

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