Nidhi Hegde
8 papers · 2017–2025 · 5 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (25) 🌍 Conference Polyglot · Silver
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Topic Evolution
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Unstoppable · Bronze
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Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(8)
Application Areas
(4)
Optimization & Theory
(4)
Artificial Intelligence
(3)
Reinforcement Learning
(3)
Mathematics & Optimization
(2)
Applications
(2)
Core AI · Artificial Intelligence
(2)
Learning Paradigms
(2)
Learning Types
(2)
Computer Vision
(1)
Deep Learning
(1)
Security & Privacy
(1)
Architectures
(1)
Core AI · Computer Vision
(1)
Keywords
thompson sampling
(3)
differential privacy
(2)
regret bound
(2)
stochastic bandit
(2)
stochastic gradient descent
(1)
vision transformer
(1)
active learning
(1)
source-free domain adaptation
(1)
reinforcement learning
(1)
sample complexity
(1)
unsupervised domain adaptation
(1)
efficient inference
(1)
efficient computing
(1)
markov decision process
(1)
sequential hypothesis testing
(1)
data augmentation
(1)
value function
(1)
model-based reinforcement learning
(1)
bayesian decision making
(1)
covariate shift
(1)
Papers
Connecting Thompson Sampling and UCB: Towards More Efficient Trade-offs Between Privacy and Regret
ICML 2025
Mixture of Nested Experts: Adaptive Processing of Visual Tokens
NeurIPS 2024
Optimistic Thompson Sampling-based algorithms for episodic reinforcement learning
UAI 2023
Near-optimal Thompson sampling-based algorithms for differentially private stochastic bandits
UAI 2022
Resonance in Weight Space: Covariate Shift Can Drive Divergence of SGD with Momentum
ICLR 2022
IITK at SemEval-2021 Task 10: Source-Free Unsupervised Domain Adaptation using Class Prototypes
SemEval 2021
Privacy-Preserving Q-Learning with Functional Noise in Continuous Spaces
NeurIPS 2019
Adaptive Active Hypothesis Testing under Limited Information
NeurIPS 2017