Theodoros Rekatsinas
10 papers · 2015–2025 · 7 venues · across top CS/AI venues
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (20)
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Research topics
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(9)
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(3)
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Bayesian & Probabilistic Β· Artificial Intelligence
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(1)
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Bayesian & Probabilistic Β· Machine Learning
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Keywords
unsupervised learning
(1)
differential privacy
(1)
approximate inference
(1)
variational inference
(1)
structured prediction
(1)
optimal transport
(1)
coreset selection
(1)
self-supervised learning
(1)
relation extraction
(1)
natural language generation
(1)
topic modeling
(1)
text generation
(1)
mean estimation
(1)
instruction tuning
(1)
network inference
(1)
random sampling
(1)
graph embedding
(1)
distribution shift
(1)
kernel density estimation
(1)
information theory
(1)
Papers
Quake: Adaptive Indexing for Vector Search
OSDI 2025
Construction of Paired Knowledge Graph - Text Datasets Informed by Cyclic Evaluation
COLING 2024
Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning
ICLR 2024
TSDS: Data Selection for Task-Specific Model Finetuning
NeurIPS 2024
Marius: Learning Massive Graph Embeddings on a Single Machine
OSDI 2021
On Robust Mean Estimation under Coordinate-level Corruption
ICML 2021
Data-Dependent Differentially Private Parameter Learning for Directed Graphical Models
ICML 2020
Unsupervised Relation Extraction from Language Models using Constrained Cloze Completion
EMNLP 2020
Approximate Inference in Structured Instances with Noisy Categorical Observations
UAI 2019
HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades
ICML 2015