Nikos Karampatziakis
11 papers · 2010–2024 · 3 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (35) π Academic Marathon Β· Half π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Keyword Champion
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Keyword Pioneer
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Trend Setter
π
Conference Pioneer
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Renaissance Researcher
(5)
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Century Club Β· Bronze
ποΈ
Keyword Collector
(72)
Venues
Top co-authors
Research topics
Machine Learning
(10)
Optimization & Theory
(6)
Core Methods
(5)
Mathematics & Optimization
(4)
Application Areas
(4)
Learning Types
(3)
Optimization
(3)
Artificial Intelligence
(2)
Computer Science
(1)
Deep Learning
(1)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Applications
(1)
Core AI
(1)
Generation
(1)
Keywords
multi-class classification
(3)
contextual bandit
(2)
off-policy evaluation
(2)
model quantization
(1)
policy optimization
(1)
binary classification
(1)
conformal prediction
(1)
structured prediction
(1)
uncertainty quantification
(1)
text generation
(1)
language modeling
(1)
supervised learning
(1)
distributed learning
(1)
binary analysis
(1)
empirical risk minimization
(1)
parameter efficient
(1)
gradient descent
(1)
second-order statistics
(1)
feature extraction
(1)
active learning
(1)
Papers
Active, anytime-valid risk controlling prediction sets
NeurIPS 2024
LoftQ: LoRA-Fine-Tuning-aware Quantization for Large Language Models
ICLR 2024
Meet in the Middle: A New Pre-training Paradigm
NeurIPS 2023
Off-Policy Confidence Sequences
ICML 2021
Empirical Likelihood for Contextual Bandits
NeurIPS 2020
Gradient Coding: Avoiding Stragglers in Distributed Learning
ICML 2017
Logarithmic Time One-Against-Some
ICML 2017
Discriminative Features via Generalized Eigenvectors
ICML 2014
Least Squares Revisited: Scalable Approaches for Multi-class Prediction
ICML 2014
Loss-Proportional Subsampling for Subsequent ERM
ICML 2013
Static Analysis of Binary Executables Using Structural SVMs
NeurIPS 2010