Manish Purohit
13 papers · 2018–2026 · 5 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (13)
π€
Dynamic Duo
(11)
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Keywords
regret bound
(6)
online algorithm
(4)
online linear optimization
(3)
stochastic optimization
(3)
online learning
(3)
logarithmic regret
(2)
hint vector
(2)
machine-learned prediction
(2)
competitive ratio
(2)
linear optimization
(2)
optimistic regret
(2)
bandit feedback
(1)
convex optimization
(1)
algorithm optimization
(1)
reinforcement learning
(1)
resource allocation
(1)
iteration complexity
(1)
worst-case analysis
(1)
model selection
(1)
approximation algorithm
(1)
Papers
Adaptive Weighted Averaging
COLT 2026
Descent with Misaligned Gradients and Applications to Hidden Convexity
ICLR 2025
Bandit Online Linear Optimization with Hints and Queries
ICML 2023
Parsimonious Learning-Augmented Caching
ICML 2022
Dynamic Balancing for Model Selection in Bandits and RL
ICML 2021
Logarithmic Regret from Sublinear Hints
NeurIPS 2021
Online Knapsack with Frequency Predictions
NeurIPS 2021
Power of Hints for Online Learning with Movement Costs
AISTATS 2021
Online Learning with Imperfect Hints
ICML 2020
Online Linear Optimization with Many Hints
NeurIPS 2020
Efficient Rematerialization for Deep Networks
NeurIPS 2019
Hiring Under Uncertainty
ICML 2019
Improving Online Algorithms via ML Predictions
NeurIPS 2018