Shiva Kasiviswanathan
14 papers · 2018–2025 · 6 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (20) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint
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Renaissance Researcher
(5)
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Unstoppable · Bronze
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Century Club · Bronze
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Keyword Collector
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Research topics
Machine Learning
(13)
Optimization & Theory
(12)
Artificial Intelligence
(5)
Application Areas
(5)
Core AI
(4)
Knowledge & Reasoning
(2)
Natural Language Processing
(2)
Core Methods
(2)
Learning Types
(2)
Reasoning
(2)
Deep Learning
(1)
Mathematics & Optimization
(1)
Security & Privacy
(1)
Applications
(1)
Differential Privacy
(1)
Keywords
differential privacy
(3)
online learning
(2)
metric space
(2)
causal inference
(2)
question answering
(1)
posterior sampling
(1)
false discovery rate
(1)
label propagation
(1)
semi-supervised learning
(1)
causal discovery
(1)
anomaly detection
(1)
contextual information
(1)
utility optimization
(1)
distributed optimization
(1)
online decision making
(1)
probabilistic modeling
(1)
bregman divergence
(1)
hilbert-schmidt independence criterion
(1)
linear programming
(1)
privacy attack
(1)
Papers
QA-Calibration of Language Model Confidence Scores
ICLR 2025
Differentially Private Conditional Independence Testing
AISTATS 2024
The PetShop Dataset — Finding Causes of Performance Issues across Microservices
CLeaR 2024
Sequential Kernelized Independence Testing
ICML 2023
Thompson Sampling with Diffusion Generative Prior
ICML 2023
Balancing utility and scalability in metric differential privacy
UAI 2022
On Measuring Causal Contributions via do-interventions
ICML 2022
Reconstructing Test Labels from Noisy Loss Functions
AISTATS 2022
Federated Learning under Arbitrary Communication Patterns
ICML 2021
Label Inference Attacks from Log-loss Scores
ICML 2021
Private Release of Text Embedding Vectors
NAACL 2021
Contextual Online False Discovery Rate Control
AISTATS 2020
Efficient Intervention Design for Causal Discovery with Latents
ICML 2020
Semi-Supervised Learning on Data Streams via Temporal Label Propagation
ICML 2018