Dheeraj Baby
14 papers · 2019–2025 · 4 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (23) π Academic Marathon Β· Sprint π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Keyword Champion
(2)
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Dynamic Duo
(12)
ποΈ
Keyword Collector
(69)
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Century Club Β· Bronze
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Venues
Top co-authors
Research topics
Machine Learning
(13)
Mathematics & Optimization
(12)
Optimization
(12)
Optimization & Theory
(7)
Learning Types Β· Machine Learning
(6)
Core Methods
(4)
Application Areas
(3)
Artificial Intelligence
(1)
Data Science & Analytics
(1)
Deep Learning
(1)
Applications
(1)
Core AI
(1)
Learning Types Β· Deep Learning
(1)
Mathematics
(1)
Keywords
dynamic regret
(7)
online learning
(7)
total variation
(3)
time series forecasting
(2)
minimax rate
(2)
nonparametric regression
(2)
stochastic optimization
(2)
strongly adaptive algorithm
(2)
total variation denoising
(2)
domain adaptation
(2)
non-stationary optimization
(2)
regression
(1)
feature extraction
(1)
regret minimization
(1)
wavelet analysis
(1)
convex optimization
(1)
denoising
(1)
distribution shift
(1)
policy learning
(1)
sparsity
(1)
Papers
Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach
AISTATS 2025
Adaptive Estimation and Learning under Temporal Distribution Shift
ICML 2025
AKORN: Adaptive Knots generated Online for RegressioN splines
ICML 2025
Online Feature Updates Improve Online (Generalized) Label Shift Adaptation
NeurIPS 2024
Online Matrix Completion: A Collaborative Approach with Hott Items
ICML 2024
Near Optimal Heteroscedastic Regression with Symbiotic Learning
COLT 2023
Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms
NeurIPS 2023
Second Order Path Variationals in Non-Stationary Online Learning
AISTATS 2023
Optimal Dynamic Regret in LQR Control
NeurIPS 2022
Optimal Dynamic Regret in Proper Online Learning with Strongly Convex Losses and Beyond
AISTATS 2022
An Optimal Reduction of TV-Denoising to Adaptive Online Learning
AISTATS 2021
Optimal Dynamic Regret in Exp-Concave Online Learning
COLT 2021
Adaptive Online Estimation of Piecewise Polynomial Trends
NeurIPS 2020
Online Forecasting of Total-Variation-bounded Sequences
NeurIPS 2019