Aditya Gangrade
15 papers · 2019–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (6) π Cross-Pollinator (10)
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Taxonomy Completionist
(30)
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Cross-Pollinator
(10)
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(13)
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Unstoppable
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Century Club
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Conferences
NIPS (5)
ICML (4)
AISTATS (2)
ICLR (2)
COLT (1)
CVPR (1)
Top co-authors
Keywords
selective classification
(2)
information theory
(2)
sparse recovery
(1)
domain adaptation
(1)
convex optimization
(1)
change detection
(1)
self-supervised learning
(1)
graph inference
(1)
sample complexity
(1)
pac learning
(1)
community detection
(1)
ising model
(1)
empirical risk minimization
(1)
hypothesis testing
(1)
label noise
(1)
graph theory
(1)
linear programming
(1)
signal-to-noise ratio
(1)
logarithmic regret
(1)
online learning
(1)
Papers
SPARC: Score Prompting and Adaptive Fusion for Zero-Shot Multi-Label Recognition in Vision-Language Models
CVPR 2025
Feasible Action Search for Bandit Linear Programs via Thompson Sampling
ICML 2025
Safe Linear Bandits over Unknown Polytopes
COLT 2024
Label Noise: Ignorance Is Bliss
NIPS 2024
Testing the Feasibility of Linear Programs with Bandit Feedback
ICML 2024
Counterfactually Comparing Abstaining Classifiers
NIPS 2023
Scaffolding a Student to Instill Knowledge
ICLR 2023
Efficient Edge Inference by Selective Query
ICLR 2023
Strategies for Safe Multi-Armed Bandits with Logarithmic Regret and Risk
ICML 2022
Selective Classification via One-Sided Prediction
AISTATS 2021
Online Selective Classification with Limited Feedback
NIPS 2021
Limits on Testing Structural Changes in Ising Models
NIPS 2020
Piecewise Linear Regression via a Difference of Convex Functions
ICML 2020
Budget Learning via Bracketing
AISTATS 2020
Efficient Near-Optimal Testing of Community Changes in Balanced Stochastic Block Models
NIPS 2019