Dheevatsa Mudigere
7 papers · 2018–2023 · 6 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (6) π Academic Marathon (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10)
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Keyword Pioneer
π£
Hot Topic Early Bird
π
Conference Pioneer
Conferences
NSDI (2)
AAAI (1)
AISTATS (1)
ICLR (1)
ICML (1)
OSDI (1)
Top co-authors
Keywords
distributed training
(2)
deep reinforcement learning
(1)
reinforcement learning
(1)
sample efficiency
(1)
ensemble learning
(1)
distributed learning
(1)
policy learning
(1)
neural network optimization
(1)
empirical risk minimization
(1)
continuous control
(1)
alternating optimization
(1)
communication efficiency
(1)
quasi-newton method
(1)
ensemble method
(1)
model training
(1)
policy ensemble
(1)
hierarchical search
(1)
parallelization strategy
(1)
remote direct memory access
(1)
reinforcement learning policy
(1)
Papers
TopoOpt: Co-optimizing Network Topology and Parallelization Strategy for Distributed Training Jobs
NSDI 2023
Unity: Accelerating DNN Training Through Joint Optimization of Algebraic Transformations and Parallelization
OSDI 2022
Check-N-Run: a Checkpointing System for Training Deep Learning Recommendation Models
NSDI 2022
Efficient Distributed Hessian Free Algorithm for Large-scale Empirical Risk Minimization via Accumulating Sample Strategy
AISTATS 2020
ERLP: Ensembles of Reinforcement Learning Policies (Student Abstract)
AAAI 2020
A Progressive Batching L-BFGS Method for Machine Learning
ICML 2018
Mixed Precision Training of Convolutional Neural Networks using Integer Operations
ICLR 2018