Gaurush Hiranandani
10 papers · 2019–2025 · 4 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (17) π Conference Polyglot Β· Bronze π£ Hot Topic Early Bird π Academic Marathon Β· Sprint
π
Renaissance Researcher
(5)
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Conference Pioneer
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Century Club Β· Bronze
ποΈ
Keyword Collector
(51)
Venues
Top co-authors
Research topics
Machine Learning
(10)
Optimization & Theory
(6)
Artificial Intelligence
(4)
Core AI
(4)
Core Methods
(4)
Learning Types
(4)
Application Areas
(3)
Mathematics & Optimization
(2)
Optimization
(2)
Data Science & Analytics
(1)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Applications
(1)
Generation
(1)
Methods
(1)
Keywords
metric elicitation
(4)
multi-class classification
(2)
preference feedback
(2)
confusion matrix
(2)
metric optimization
(1)
label noise
(1)
binary classification
(1)
group fairness
(1)
preference learning
(1)
performance metric
(1)
fisher information matrix
(1)
diversified retrieval
(1)
plackett-luce model
(1)
learning to rank
(1)
information gain
(1)
pairwise comparison
(1)
fairness metric
(1)
gradient descent
(1)
domain adaptation
(1)
black-box optimization
(1)
Papers
Comparing Few to Rank Many: Active Human Preference Learning Using Randomized Frank-Wolfe Method
ICML 2025
FisherSFT: Data-Efficient Supervised Fine-Tuning of Language Models Using Information Gain
ICML 2025
Logits are All We Need to Adapt Closed Models
ICML 2025
Quadratic metric elicitation for fairness and beyond
UAI 2022
Optimizing Black-box Metrics with Iterative Example Weighting
ICML 2021
Fair Performance Metric Elicitation
NeurIPS 2020
Optimization and Analysis of the pAp@k Metric for Recommender Systems
ICML 2020
Cascading Linear Submodular Bandits: Accounting for Position Bias and Diversity in Online Learning to Rank
UAI 2019
Multiclass Performance Metric Elicitation
NeurIPS 2019
Performance Metric Elicitation from Pairwise Classifier Comparisons
AISTATS 2019