Sanghamitra Dutta
13 papers · 2016–2025 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (31) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π Grand Slam
π
Keyword Champion
(3)
π§
Keyword Pioneer
π
Grand Slam
ποΈ
Keyword Collector
(68)
π₯
Unstoppable Β· Bronze
β
The Questioner
(2)
π
Trend Setter
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(13)
Artificial Intelligence
(7)
Application Areas
(7)
Optimization & Theory Β· Machine Learning
(7)
Core AI
(6)
Learning Types
(4)
Deep Learning
(3)
Mathematics & Optimization
(3)
Core Methods
(3)
Natural Language Processing
(2)
Applications
(2)
Architectures
(2)
Mathematics
(2)
Optimization & Theory Β· Deep Learning
(2)
Computer Science
(1)
Keywords
counterfactual explanation
(3)
information theory
(3)
partial information decomposition
(3)
neural network
(2)
straggler mitigation
(2)
probabilistic guarantee
(2)
algorithmic fairness
(1)
stochastic gradient descent
(1)
federated learning
(1)
model robustness
(1)
knowledge distillation
(1)
dependency parsing
(1)
distributed learning
(1)
distributed computing
(1)
embedding space
(1)
continual learning
(1)
tree-based ensemble
(1)
event detection
(1)
data heterogeneity
(1)
convex optimization
(1)
Papers
Quantifying Knowledge Distillation using Partial Information Decomposition
AISTATS 2025
Quantifying Prediction Consistency Under Fine-tuning Multiplicity in Tabular LLMs
ICML 2025
Demystifying Local & Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition
ICLR 2024
Model Reconstruction Using Counterfactual Explanations: A Perspective From Polytope Theory
NeurIPS 2024
In- or out-of-distribution detection via dual divergence estimation
UAI 2023
Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees
ICML 2023
Robust Counterfactual Explanations for Tree-Based Ensembles
ICML 2022
Can Information Flows Suggest Targets for Interventions in Neural Circuits?
NeurIPS 2021
GTN-ED: Event Detection Using Graph Transformer Networks
NAACL 2021
An Information-Theoretic Quantification of Discrimination with Exempt Features
AAAI 2020
Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing
ICML 2020
Slow and Stale Gradients Can Win the Race: Error-Runtime Trade-offs in Distributed SGD
AISTATS 2018
Short-Dot: Computing Large Linear Transforms Distributedly Using Coded Short Dot Products
NeurIPS 2016