Lokesh Nagalapatti
8 papers · 2021–2025 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(20)
🧭
Keyword Pioneer
❓
The Questioner
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Research topics
Machine Learning
(7)
Artificial Intelligence
(6)
Optimization & Theory
(5)
Core AI
(4)
Learning Paradigms · Machine Learning
(3)
Mathematics & Optimization
(2)
Application Areas
(2)
Learning Paradigms · Artificial Intelligence
(2)
Learning Types
(2)
Optimization
(2)
Data Science & Analytics
(1)
Deep Learning
(1)
Healthcare & Medicine
(1)
Applications
(1)
Bayesian & Probabilistic
(1)
Keywords
federated learning
(3)
game theory
(2)
shapley value
(2)
anomaly detection
(2)
feature selection
(1)
gradient-based optimization
(1)
causal inference
(1)
cooperative game
(1)
privacy preservation
(1)
gaussian process
(1)
generalization error
(1)
kernel smoothing
(1)
consistency
(1)
noise robustness
(1)
edge device
(1)
data selection
(1)
generative model
(1)
data quality
(1)
gradient aggregation
(1)
coreset selection
(1)
Papers
From Search to Sampling: Generative Models for Robust Algorithmic Recourse
ICLR 2025
Robust Root Cause Diagnosis using In-Distribution Interventions
ICLR 2025
Tab-Shapley: Identifying Top-k Tabular Data Quality Insights
AAAI 2025
Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing
AAAI 2024
Gradient Coreset for Federated Learning
WACV 2024
PairNet: Training with Observed Pairs to Estimate Individual Treatment Effect
ICML 2024
Is Your Data Relevant?: Dynamic Selection of Relevant Data for Federated Learning
AAAI 2022
Game of Gradients: Mitigating Irrelevant Clients in Federated Learning
AAAI 2021