Nidhi Hegde
10 papers · 2017–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (7) π Academic Marathon (8) π Cross-Pollinator (11)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(25)
π
Keyword Champion
(3)
π§¬
Topic Evolution
π
Century Club
(10)
π
Trend Setter
π₯
Unstoppable
(5)
Conferences
NIPS (3)
UAI (2)
ACL (1)
ICLR (1)
ICML (1)
IJCNLP (1)
SEMEVAL (1)
Top co-authors
Research topics
Keywords
data augmentation
(3)
unsupervised domain adaptation
(3)
negation detection
(3)
source-free domain adaptation
(3)
class prototype
(3)
regret bound
(2)
thompson sampling
(2)
differential privacy
(2)
efficient inference
(1)
efficient computing
(1)
markov decision process
(1)
value function
(1)
sequential hypothesis testing
(1)
model-based reinforcement learning
(1)
bayesian decision making
(1)
optimistic exploration
(1)
error probability
(1)
stochastic bandit
(1)
mixture of expert
(1)
token processing
(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
NIPS 2024
Optimistic Thompson Sampling-based algorithms for episodic reinforcement learning
UAI 2023
Resonance in Weight Space: Covariate Shift Can Drive Divergence of SGD with Momentum
ICLR 2022
Near-optimal Thompson sampling-based algorithms for differentially private stochastic bandits
UAI 2022
IITK at SemEval-2021 Task 10: Source-Free Unsupervised Domain Adaptation using Class Prototypes
SEMEVAL 2021
IITK at SemEval-2021 Task 10: Source-Free Unsupervised Domain Adaptation using Class Prototypes
IJCNLP 2021
IITK at SemEval-2021 Task 10: Source-Free Unsupervised Domain Adaptation using Class Prototypes
ACL 2021
Privacy-Preserving Q-Learning with Functional Noise in Continuous Spaces
NIPS 2019
Adaptive Active Hypothesis Testing under Limited Information
NIPS 2017