Arturs Backurs
16 papers · 2017–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (36)
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Topic Evolution
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Keyword Collector
(80)
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Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
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Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Machine Learning
(10)
Mathematics & Optimization
(6)
Artificial Intelligence
(5)
Computer Science
(5)
Foundations
(5)
Optimization
(5)
Deep Learning
(4)
Natural Language Processing
(4)
Application Areas
(4)
Core AI
(4)
Optimization & Theory
(4)
Core Methods
(3)
Learning Types
(3)
Resources & Methods
(3)
Security & Privacy
(2)
Keywords
differential privacy
(6)
large language model
(3)
privacy-utility trade-off
(2)
computational complexity
(2)
kernel density estimation
(2)
neural network training
(1)
dimensionality reduction
(1)
quantization
(1)
policy learning
(1)
optimal transport
(1)
language model alignment
(1)
deep learning
(1)
active learning
(1)
fine-grained complexity
(1)
nearest neighbor
(1)
density estimation
(1)
empirical risk minimization
(1)
dynamic programming
(1)
nearest neighbor search
(1)
reinforcement learning from human feedback
(1)
Papers
DiscQuant: A Quantization Method for Neural Networks Inspired by Discrepancy Theory
COLT 2025
Differentially Private Synthetic Data via Foundation Model APIs 2: Text
ICML 2024
Efficiently Computing Similarities to Private Datasets
ICLR 2024
Privately Aligning Language Models with Reinforcement Learning
ICLR 2024
Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping
ICLR 2023
Differentially Private Fine-tuning of Language Models
ICLR 2022
Differentially Private Model Compression
NeurIPS 2022
Data-to-text Generation by Splicing Together Nearest Neighbors
EMNLP 2021
Faster Kernel Matrix Algebra via Density Estimation
ICML 2021
Active Local Learning
COLT 2020
Impossibility Results for Grammar-Compressed Linear Algebra
NeurIPS 2020
Scalable Nearest Neighbor Search for Optimal Transport
ICML 2020
Scalable Fair Clustering
ICML 2019
Space and Time Efficient Kernel Density Estimation in High Dimensions
NeurIPS 2019
Improving Viterbi is Hard: Better Runtimes Imply Faster Clique Algorithms
ICML 2017
On the Fine-Grained Complexity of Empirical Risk Minimization: Kernel Methods and Neural Networks
NeurIPS 2017