Kunle Olukotun
10 papers · 2006–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (26) π Academic Marathon Β· Full π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Century Club Β· Bronze
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(69)
Venues
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Research topics
Machine Learning
(10)
Mathematics & Optimization
(6)
Optimization & Theory Β· Machine Learning
(6)
Application Areas
(4)
Artificial Intelligence
(3)
Optimization
(3)
Computer Science
(2)
Deep Learning
(2)
Core AI
(2)
Core Methods
(2)
Learning Types
(2)
Optimization & Theory Β· Deep Learning
(2)
Probability
(2)
Systems
(2)
Natural Language Processing
(1)
Keywords
gibbs sampling
(3)
markov chain monte carlo
(3)
mixing time
(3)
stochastic gradient descent
(2)
matrix completion
(2)
non-convex optimization
(2)
asynchronous parallelization
(2)
asynchronous execution
(2)
convergence analysis
(1)
map-reduce
(1)
logistic regression
(1)
parallel computing
(1)
multicore architectures
(1)
statistical query
(1)
online learning
(1)
subspace tracking
(1)
stochastic process
(1)
machine learning
(1)
distributed learning
(1)
bias correction
(1)
Papers
Adaptive Self-improvement LLM Agentic System for ML Library Development
ICML 2025
LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits
ICML 2025
Caravan: Practical Online Learning of In-Network ML Models with Labeling Agents
OSDI 2024
Flare: Optimizing Apache Spark with Native Compilation for Scale-Up Architectures and Medium-Size Data
OSDI 2018
Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling
IJCAI 2017
Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling
ICML 2016
Global Convergence of Stochastic Gradient Descent for Some Non-convex Matrix Problems
ICML 2015
Rapidly Mixing Gibbs Sampling for a Class of Factor Graphs Using Hierarchy Width
NeurIPS 2015
Taming the Wild: A Unified Analysis of Hogwild-Style Algorithms
NeurIPS 2015
Map-Reduce for Machine Learning on Multicore
NeurIPS 2006