◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Stuart J. Russell

68 papers hereh-index 7035.5k citations271 works total

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

author position
  • sole author1
  • first author2
  • middle author22
  • last author42

Across the 67 of 68 papers where every author was matched, so the position is known.

fields
  • cs.LG31
  • cs.AI27
  • cs.GT3
  • cs.CV2
  • cs.NE2
  • stat.ML2
same name
  • Stuart J. Russell — 5 papers, h 5
  • Stuart J. Russell — 1 paper, h 8

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
19952023
most citedImage Segmentation in Video Sequences: A Probabilistic Approach

831 citations · 3.2k across the 65 of their papers we have counts for

collaborators
Showing 2013 · cs.AIShow all

4 papers · 2 filters

cs.AI2013★ 1 cited

Automated Construction of Sparse Bayesian Networks from Unstructured Probabilistic Models and Domain Information

Sampath Srinivas, Stuart Russell, Alice M. Agogino

An algorithm for automated construction of a sparse Bayesian network given an unstructured probabilistic model and causal domain information from an expert has been developed and i…

cs.AI2013★ 1 cited

Fine-Grained Decision-Theoretic Search Control

Stuart Russell

Decision-theoretic control of search has previously used as its basic unit. of computation the generation and evaluation of a complete set of successors. Although this simplifies a…

cs.AI2013★ 220 cited

Stochastic Simulation Algorithms for Dynamic Probabilistic Networks

Keiji Kanazawa, Daphne Koller, Stuart Russell

Stochastic simulation algorithms such as likelihood weighting often give fast, accurate approximations to posterior probabilities in probabilistic networks, and are the methods of…

cs.AI2013★ 574 cited

Learning the Structure of Dynamic Probabilistic Networks

Nir Friedman, Kevin Murphy, Stuart Russell

Dynamic probabilistic networks are a compact representation of complex stochastic processes. In this paper we examine how to learn the structure of a DPN from data. We extend struc…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.