Rudrajit Das
6 papers · 2022–2025 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Taxonomy Completionist
(14)
Top co-authors
Research topics
Keywords
non-convex optimization
(2)
differential privacy
(1)
catastrophic forgetting
(1)
stochastic gradient descent
(1)
logistic regression
(1)
knowledge distillation
(1)
label noise
(1)
variance reduction
(1)
linear regression
(1)
communication efficiency
(1)
convergence guarantee
(1)
sample selection
(1)
heavy-tailed distribution
(1)
pre-trained model
(1)
lipschitz constant
(1)
client heterogeneity
(1)
noisy label
(1)
lipchitz constant
(1)
sample weighting
(1)
fine tuning
(1)
Papers
Retraining with Predicted Hard Labels Provably Increases Model Accuracy
ICML 2025
Upweighting Easy Samples in Fine-Tuning Mitigates Forgetting
ICML 2025
Understanding the Training Speedup from Sampling with Approximate Losses
ICML 2024
Beyond Uniform Lipschitz Condition in Differentially Private Optimization
ICML 2023
Understanding Self-Distillation in the Presence of Label Noise
ICML 2023
Faster non-convex federated learning via global and local momentum
UAI 2022