Tamas Sarlos

Tamas Sarlos

https://sites.google.com/site/stamas/

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Linear Elastic Caching via Ski Rental
Tamas Sarlos
Todd Lipcon
Ravi Kumar
Manish Purohit
The biennial Conference on Innovative Data Systems Research (2025)
Lower Bounds for Differential Privacy Under Continual Observation and Online Threshold Queries
Edith Cohen
Xin Lyu
Jelani Nelson
Tamas Sarlos
Uri Stemmer
COLT 2024
Tricking the Hashing Trick: A Tight Lower Bound on the Robustness of CountSketch to Adaptive Inputs
Edith Cohen
Jelani Nelson
Tamas Sarlos
Uri Stemmer
AAAI 2023
Generalized Private Selection and Testing with High Confidence
Edith Cohen
Xin Lyu
Jelani Nelson
Tamas Sarlos
Uri Stemmer
ITCS 2023
Õptimal Differentially Private Learning of Thresholds and Quasi-Concave Optimization
Edith Cohen
Xin Lyu
Jelani Nelson
Tamas Sarlos
Uri Stemmer
STOC 2023
On the Robustness of CountSketch to Adaptive Inputs
Edith Cohen
Xin Lyu
Jelani Nelson
Tamas Sarlos
Moshe Shechner
Uri Stemmer
ICML 2022
Chefs’ Random Tables: Non-Trigonometric Random Features
Valerii Likhosherstov
Krzysztof Marcin Choromanski
Avinava Dubey
Frederick Liu
Tamas Sarlos
Adrian Weller
NeurIPS 2022 (2022) (to appear)
Differentially Private Weighted Sampling
Edith Cohen
Ofir Geri
Tamas Sarlos
Uri Stemmer
AISTATS 2021
Rethinking Attention with Performers
Krzysztof Marcin Choromanski
Valerii Likhosherstov
David Martin Dohan
Xingyou Song
Andreea Gane
Tamas Sarlos
Peter Hawkins
Jared Quincy Davis
Afroz Mohiuddin
Lukasz Kaiser
David Belanger
Lucy Colwell
Adrian Weller
accepted to ICLR 2021 (oral presentation) (to appear)
Stochastic Flows and Geometric Optimization on the Orthogonal Group
Krzysztof Choromanski
David Cheikhi
Jared Davis
Valerii Likhosherstov
Achille Nazaret
Achraf Bahamou
Xingyou Song
Mrugank Akarte
Jack Parker-Holder
Jacob Bergquist
Yuan Gao
Aldo Pacchiano
Tamas Sarlos
Adrian Weller
Vikas Sindhwani
Thirty-seventh International Conference on Machine Learning (ICML 2020) (to appear)
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