Dheeraj Baby
14 papers · 2019–2025 · 4 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Academic Marathon (6) π Cross-Pollinator (14)
πΊοΈ
Taxonomy Completionist
(17)
π
Conference Polyglot
(4)
π€
Dynamic Duo
(12)
π
Century Club
(14)
π₯
Unstoppable
(7)
Conferences
NIPS (5)
AISTATS (4)
ICML (3)
COLT (2)
Top co-authors
Keywords
dynamic regret
(7)
online learning
(6)
total variation
(3)
domain adaptation
(2)
non-parametric regression
(2)
strongly adaptive algorithm
(2)
stochastic optimization
(2)
time series forecasting
(2)
feature extraction
(1)
wavelet analysis
(1)
convex optimization
(1)
regret minimization
(1)
policy learning
(1)
online linear regression
(1)
exp-concave loss
(1)
minimax optimality
(1)
strongly convex
(1)
label shift
(1)
self-supervised learning
(1)
non-convex optimization
(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 Matrix Completion: A Collaborative Approach with Hott Items
ICML 2024
Online Feature Updates Improve Online (Generalized) Label Shift Adaptation
NIPS 2024
Second Order Path Variationals in Non-Stationary Online Learning
AISTATS 2023
Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms
NIPS 2023
Near Optimal Heteroscedastic Regression with Symbiotic Learning
COLT 2023
Optimal Dynamic Regret in Proper Online Learning with Strongly Convex Losses and Beyond
AISTATS 2022
Optimal Dynamic Regret in LQR Control
NIPS 2022
Optimal Dynamic Regret in Exp-Concave Online Learning
COLT 2021
An Optimal Reduction of TV-Denoising to Adaptive Online Learning
AISTATS 2021
Adaptive Online Estimation of Piecewise Polynomial Trends
NIPS 2020
Online Forecasting of Total-Variation-bounded Sequences
NIPS 2019