Sergei Vassilvitskii
29 papers · 2013–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (7) π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (12) π Academic Marathon (12)
π§
Keyword Pioneer
π
Interdisciplinary Bridge
π
Conference Polyglot
(7)
π¬
Deep Specialist
(10)
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(118)
π
Conference Pioneer
π
Trend Setter
π
Century Club
(28)
π₯
Unstoppable
(10)
β‘
Prolific Year
(5)
Conferences
NIPS (14)
ICML (7)
AISTATS (2)
ICLR (2)
ACL (1)
ALT (1)
EMNLP (1)
NAACL (1)
Top co-authors
Research topics
Keywords
differential privacy
(7)
online algorithm
(5)
competitive analysis
(3)
sample complexity
(3)
model memorization
(2)
online learning
(2)
machine-learned prediction
(2)
graph algorithm
(2)
label privacy
(2)
fair clustering
(2)
synthetic datum
(2)
text-to-text transformer
(2)
approximation algorithm
(2)
warm starting
(2)
privacy-preserving training
(2)
k-means clustering
(1)
online clustering
(1)
learning theory
(1)
matrix factorization
(1)
game theory
(1)
Papers
Learning from Synthetic Data: Limitations of ERM
ALT 2026
Scaling Laws for Downstream Task Performance in Machine Translation
ICLR 2025
Binary Search with Distributional Predictions
NIPS 2024
Warm-starting Push-Relabel
NIPS 2024
Private prediction for large-scale synthetic text generation
EMNLP 2024
Label differential privacy and private training data release
ICML 2023
Learning-augmented private algorithms for multiple quantile release
ICML 2023
Easy Differentially Private Linear Regression
ICLR 2023
Speeding Up Bellman Ford via Minimum Violation Permutations
ICML 2023
Predictive Flows for Faster Ford-Fulkerson
ICML 2023
Training Text-to-Text Transformers with Privacy Guarantees
ACL 2022
Learning Predictions for Algorithms with Predictions
NIPS 2022
Algorithms with Prediction Portfolios
NIPS 2022
Label differential privacy via clustering
AISTATS 2022
Training Text-to-Text Transformers with Privacy Guarantees
NAACL 2022
Faster Matchings via Learned Duals
NIPS 2021
Robust Online Correlation Clustering
NIPS 2021
Fair Hierarchical Clustering
NIPS 2020
Sliding Window Algorithms for k-Clustering Problems
NIPS 2020
Differentially Private Covariance Estimation
NIPS 2019
Maximizing Induced Cardinality Under a Determinantal Point Process
NIPS 2018
Statistical Cost Sharing
NIPS 2017
Consistent k-Clustering
ICML 2017
Revenue Optimization with Approximate Bid Predictions
NIPS 2017
Fair Clustering Through Fairlets
NIPS 2017
On Mixtures of Markov Chains
NIPS 2016
Pricing a Low-regret Seller
ICML 2016
Sketching, Embedding and Dimensionality Reduction in Information Theoretic Spaces
AISTATS 2016
Near-Optimal Bounds for Cross-Validation via Loss Stability
ICML 2013