Navid Nouri

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 14

Top Topics

Space Efficient

Kernel Density Estimator

Top Venues

Publications

Eleonora Kreacic, Navid Nouri, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
Differentially private synthetic data using KD-trees. UAI (2023)
Eleonora Kreacic, Navid Nouri, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
Differentially Private Synthetic Data Using KD-Trees. CoRR (2023)
Michael Kapralov, Silvio Lattanzi, Navid Nouri, Jakab Tardos
Efficient and Local Parallel Random Walks. CoRR (2021)
Arnold Filtser, Michael Kapralov, Navid Nouri
Graph Spanners by Sketching in Dynamic Streams and the Simultaneous Communication Model. SODA (2021)
Michael Kapralov, Silvio Lattanzi, Navid Nouri, Jakab Tardos
Efficient and Local Parallel Random Walks. NeurIPS (2021)
Michael Kapralov, Aida Mousavifar, Cameron Musco, Christopher Musco, Navid Nouri, Aaron Sidford, Jakab Tardos
Fast and Space Efficient Spectral Sparsification in Dynamic Streams. SODA (2020)
Navid Nouri, Darya Ardan, Mahmood Mohassel Feghhi
Age of Information-Reliability Trade-offs in Energy Harvesting Sensor Networks. CoRR (2020)
Moses Charikar, Michael Kapralov, Navid Nouri, Paris Siminelakis
Kernel Density Estimation through Density Constrained Near Neighbor Search. CoRR (2020)
Amir Zandieh, Navid Nouri, Ameya Velingker, Michael Kapralov, Ilya P. Razenshteyn
Scaling up Kernel Ridge Regression via Locality Sensitive Hashing. AISTATS (2020)
Arnold Filtser, Michael Kapralov, Navid Nouri
Graph Spanners by Sketching in Dynamic Streams and the Simultaneous Communication Model. CoRR (2020)
Michael Kapralov, Navid Nouri, Ilya P. Razenshteyn, Ameya Velingker, Amir Zandieh
Scaling up Kernel Ridge Regression via Locality Sensitive Hashing. CoRR (2020)
Moses Charikar, Michael Kapralov, Navid Nouri, Paris Siminelakis
Kernel Density Estimation through Density Constrained Near Neighbor Search. FOCS (2020)
Michael Kapralov, Navid Nouri, Aaron Sidford, Jakab Tardos
Dynamic Streaming Spectral Sparsification in Nearly Linear Time and Space. CoRR (2019)
Michael Kapralov, Aida Mousavifar, Cameron Musco, Christopher Musco, Navid Nouri
Faster Spectral Sparsification in Dynamic Streams. CoRR (2019)