Jared Davis
4 papers · 2020–2024 · 3 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
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(23)
❓
The Questioner
Venues
Top co-authors
Research topics
Deep Learning
(3)
Machine Learning
(3)
Optimization & Theory · Machine Learning
(3)
Artificial Intelligence
(2)
Mathematics & Optimization
(2)
Core AI
(2)
Models
(2)
Optimization
(2)
Reinforcement Learning
(1)
Architectures
(1)
Core Methods
(1)
Learning Types · Deep Learning
(1)
Learning Types · Machine Learning
(1)
Methods
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
stochastic optimization
(1)
stochastic gradient descent
(1)
ensemble learning
(1)
matrix factorization
(1)
neural machine translation
(1)
distributed learning
(1)
model parallelism
(1)
parallel computing
(1)
majority voting
(1)
geometric optimization
(1)
recurrent neural network
(1)
normalizing flow
(1)
language model
(1)
foundation model
(1)
lie group
(1)
scaling law
(1)
evolutionary algorithm
(1)
inference optimization
(1)
data parallelism
(1)
heterogeneous computing
(1)
Papers
Are More LLM Calls All You Need? Towards the Scaling Properties of Compound AI Systems
NeurIPS 2024
Decentralized Training of Foundation Models in Heterogeneous Environments
NeurIPS 2022
CWY Parametrization: a Solution for Parallelized Optimization of Orthogonal and Stiefel Matrices
AISTATS 2021
Stochastic Flows and Geometric Optimization on the Orthogonal Group
ICML 2020