Dheevatsa Mudigere
7 papers · 2018–2023 · 6 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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π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (12) π£ Hot Topic Early Bird
π
Conference Pioneer
Top co-authors
Research topics
Keywords
distributed training
(2)
deep reinforcement learning
(1)
image classification
(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)
convolutional neural network
(1)
ensemble method
(1)
model training
(1)
fixed point
(1)
policy ensemble
(1)
hierarchical search
(1)
Papers
TopoOpt: Co-optimizing Network Topology and Parallelization Strategy for Distributed Training Jobs
NSDI 2023
Check-N-Run: a Checkpointing System for Training Deep Learning Recommendation Models
NSDI 2022
Unity: Accelerating DNN Training Through Joint Optimization of Algebraic Transformations and Parallelization
OSDI 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