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On the Gap Between Hereditary Discrepancy and the Determinant Lower Bound
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2024
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Lily Li
Aleksandar Nikolov
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Private Query Release via the Johnson-Lindenstrauss Transform
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2023
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Aleksandar Nikolov
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General Gaussian Noise Mechanisms and Their Optimality for Unbiased Mean Estimation
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2023
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Aleksandar Nikolov
Haohua Tang
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On the Gap between Hereditary Discrepancy and the Determinant Lower Bound
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2023
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Lily Li
Aleksandar Nikolov
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Proportional Volume Sampling and Approximation Algorithms for A-Optimal Design
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2022
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Aleksandar Nikolov
Mohit Singh
Uthaipon Tantipongpipat
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Sticky Brownian Rounding and its Applications to Constraint Satisfaction Problems
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2022
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Sepehr Abbasi-Zadeh
Nikhil Bansal
Guru Guruganesh
Aleksandar Nikolov
Roy Schwartz
Mohit Singh
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Private Query Release via the Johnson-Lindenstrauss Transform
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2022
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Aleksandar Nikolov
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Learning versus Refutation in Noninteractive Local Differential Privacy
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2022
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Alexander Edmonds
Aleksandar Nikolov
Toniann Pitassi
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Near Neighbor Search via Efficient Average Distortion Embeddings
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2021
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Deepanshu Kush
Aleksandar Nikolov
Haohua Tang
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Near Neighbor Search via Efficient Average Distortion Embeddings
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2021
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Deepanshu Kush
Aleksandar Nikolov
Haohua Tang
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Maximizing Determinants under Matroid Constraints
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2020
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Vivek Madan
Aleksandar Nikolov
Mohit Singh
Uthaipon Tantipongpipat
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The power of factorization mechanisms in local and central differential privacy
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2020
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Alexander Edmonds
Aleksandar Nikolov
Jonathan Ullman
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Private Query Release Assisted by Public Data
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2020
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Raef Bassily
Albert Cheu
Shay Moran
Aleksandar Nikolov
Jonathan Ullman
Zhiwei Steven Wu
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Maximizing Determinants under Matroid Constraints
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2020
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Vivek Madan
Aleksandar Nikolov
Mohit Singh
Uthaipon Tantipongpipat
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8. Some of Jiří Matoušek’s contributions to combinatorial discrepancy theory
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2020
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Aleksandar Nikolov
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Locally Private Hypothesis Selection
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2020
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Sivakanth Gopi
Gautam Kamath
Janardhan Kulkarni
Aleksandar Nikolov
Zhiwei Steven Wu
Huanyu Zhang
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On the Computational Complexity of Linear Discrepancy
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2020
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Lily Li
Aleksandar Nikolov
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On the Computational Complexity of Linear Discrepancy
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2020
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Lily Li
Aleksandar Nikolov
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Private Query Release Assisted by Public Data
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2020
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Raef Bassily
Albert Cheu
Shay Moran
Aleksandar Nikolov
Jonathan Ullman
Zhiwei Steven Wu
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Maximizing Determinants under Matroid Constraints
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2020
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Vivek Madan
Aleksandar Nikolov
Mohit Singh
Uthaipon Tantipongpipat
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PDF
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Sticky Brownian Rounding and its Applications to Constraint Satisfaction Problems
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2019
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Sepehr Abbasi-Zadeh
Nikhil Bansal
Guru Guruganesh
Aleksandar Nikolov
Roy Schwartz
Mohit Singh
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The Power of Factorization Mechanisms in Local and Central Differential Privacy
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2019
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Alexander Edmonds
Aleksandar Nikolov
Jonathan Ullman
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None
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2019
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Daniel Dadush
Shashwat Garg
Shachar Lovett
Aleksandar Nikolov
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Towards Instance-Optimal Private Query Release
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2019
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Jarosław Błasiok
Mark Bun
Aleksandar Nikolov
Thomas Steinke
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On Mean Estimation for General Norms with Statistical Queries
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2019
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Jerry Li
Aleksandar Nikolov
Ilya Razenshteyn
Erik Waingarten
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Preconditioning for the Geometric Transportation Problem
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2019
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Andrey Boris Khesin
Aleksandar Nikolov
Dmitry Paramonov
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Preconditioning for the Geometric Transportation Problem
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2019
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Andrey Boris Khesin
Aleksandar Nikolov
Dmitry Paramonov
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The Power of Factorization Mechanisms in Local and Central Differential Privacy
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2019
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Alexander Edmonds
Aleksandar Nikolov
Jonathan Ullman
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Balancing Vectors in Any Norm
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2018
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Daniel Dadush
Aleksandar Nikolov
Kunal Talwar
Nicole Tomczak-Jaegermann
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Factorization Norms and Hereditary Discrepancy
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2018
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Jiřı́ Matoušek
Aleksandar Nikolov
Kunal Talwar
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Tusnády’s Problem, the Transference Principle, and Non-uniform QMC Sampling
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2018
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Christoph Aistleitner
Dmitriy Bilyk
Aleksandar Nikolov
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Sticky Brownian Rounding and its Applications to Constraint Satisfaction Problems
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2018
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Sepehr Abbasi-Zadeh
Nikhil Bansal
Guru Guruganesh
Aleksandar Nikolov
Roy Schwartz
Mohit Singh
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Towards Instance-Optimal Private Query Release
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2018
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Jarosław Błasiok
Mark Bun
Aleksandar Nikolov
Thomas Steinke
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Proportional Volume Sampling and Approximation Algorithms for A-Optimal Design
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2018
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Aleksandar Nikolov
Mohit Singh
Uthaipon Tantipongpipat
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Approximate near neighbors for general symmetric norms
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2017
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Alexandr Andoni
Huy L. Nguyễn
Aleksandar Nikolov
Ilya Razenshteyn
Erik Waingarten
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Tusn\'ady's problem, the transference principle, and non-uniform QMC sampling
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2017
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Christoph Aistleitner
Dmitriy Bilyk
Aleksandar Nikolov
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Tighter Bounds for the Discrepancy of Boxes and Polytopes
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2017
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Aleksandar Nikolov
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TIGHTER BOUNDS FOR THE DISCREPANCY OF BOXES AND POLYTOPES
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2017
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Aleksandar Nikolov
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Tusnády's problem, the transference principle, and non-uniform QMC sampling
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2017
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Christoph Aistleitner
Dmitriy Bilyk
Aleksandar Nikolov
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Tighter Bounds for the Discrepancy of Boxes and Polytopes
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2017
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Aleksandar Nikolov
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Towards a Constructive Version of Banaszczyk's Vector Balancing Theorem
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2016
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Daniel Dadush
Shashwat Garg
Shachar Lovett
Aleksandar Nikolov
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Maximizing determinants under partition constraints
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2016
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Aleksandar Nikolov
Mohit Singh
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Lower Bounds for Differential Privacy from Gaussian Width
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2016
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Assimakis Kattis
Aleksandar Nikolov
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Approximate Near Neighbors for General Symmetric Norms
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2016
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Alexandr Andoni
Huy L. Nguyễn
Aleksandar Nikolov
Ilya Razenshteyn
Erik Waingarten
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Towards a Constructive Version of Banaszczyk's Vector Balancing Theorem
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2016
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Daniel Dadush
Shashwat Garg
Shachar Lovett
Aleksandar Nikolov
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Randomized Rounding for the Largest Simplex Problem
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2015
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Aleksandar Nikolov
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An Improved Private Mechanism for Small Databases
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2015
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Aleksandar Nikolov
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Efficient Algorithms for Privately Releasing Marginals via Convex Relaxations
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2015
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Cynthia Dwork
Aleksandar Nikolov
Kunal Talwar
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On the hereditary discrepancy of homogeneous arithmetic progressions
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2015
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Aleksandar Nikolov
Kunal Talwar
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Approximating hereditary discrepancy via small width ellipsoids
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2015
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Aleksandar Nikolov
Kunal Talwar
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PDF
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An Improved Private Mechanism for Small Databases
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2015
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Aleksandar Nikolov
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Combinatorial Discrepancy for Boxes via the gamma_2 Norm.
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2015
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Jiřı́ Matoušek
Aleksandar Nikolov
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An Improved Private Mechanism for Small Databases
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2015
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Aleksandar Nikolov
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Approximating Hereditary Discrepancy via Small Width Ellipsoids
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2014
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Aleksandar Nikolov
Kunal Talwar
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Randomized Rounding for the Largest Simplex Problem
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2014
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Aleksandar Nikolov
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Factorization Norms and Hereditary Discrepancy
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2014
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Jiřı́ Matoušek
Aleksandar Nikolov
Kunal Talwar
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Combinatorial Discrepancy for Boxes via the Ellipsoid-Infinity Norm
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2014
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Jiřı́ Matoušek
Aleksandar Nikolov
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PDF
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Parallel algorithms for geometric graph problems
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2014
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Alexandr Andoni
Aleksandar Nikolov
Krzysztof Onak
Grigory Yaroslavtsev
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NEW COMPUTATIONAL ASPECTS OF DISCREPANCY THEORY
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2014
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Aleksandar Nikolov
S. Muthukrishnan
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Randomized Rounding for the Largest Simplex Problem
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2014
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Aleksandar Nikolov
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Parallel Algorithms for Geometric Graph Problems
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2014
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Alexandr Andoni
Aleksandar Nikolov
Krzysztof Onak
Grigory Yaroslavtsev
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Factorization Norms and Hereditary Discrepancy
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2014
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Jiřı́ Matoušek
Aleksandar Nikolov
Kunal Talwar
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On The Hereditary Discrepancy of Homogeneous Arithmetic Progressions
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2013
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Aleksandar Nikolov
Kunal Talwar
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Efficient Algorithms for Privately Releasing Marginals via Convex Relaxations
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2013
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Cynthia Dwork
Aleksandar Nikolov
Kunal Talwar
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PDF
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The geometry of differential privacy
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2013
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Aleksandar Nikolov
Kunal Talwar
Li Zhang
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PDF
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Private decayed predicate sums on streams
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2013
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Jean Bolot
Nadia Fawaz
S. Muthukrishnan
Aleksandar Nikolov
Nina Taft
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Nearly Optimal Private Convolution
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2013
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Nadia Fawaz
S. Muthukrishnan
Aleksandar Nikolov
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The Komlos Conjecture Holds for Vector Colorings
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2013
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Aleksandar Nikolov
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PDF
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Nearly Optimal Private Convolution
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2013
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Nadia Fawaz
S. Muthukrishnan
Aleksandar Nikolov
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On The Hereditary Discrepancy of Homogeneous Arithmetic Progressions
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2013
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Aleksandar Nikolov
Kunal Talwar
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+
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Efficient Algorithms for Privately Releasing Marginals via Convex Relaxations
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2013
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Cynthia Dwork
Aleksandar Nikolov
Kunal Talwar
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+
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On The Hereditary Discrepancy of Homogeneous Arithmetic Progressions
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2013
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Aleksandar Nikolov
Kunal Talwar
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Nearly Optimal Private Convolution
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2013
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Nadia Fawaz
S. Muthukrishnan
Aleksandar Nikolov
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Approximating Hereditary Discrepancy via Small Width Ellipsoids
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2013
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Aleksandar Nikolov
Kunal Talwar
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PDF
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The Geometry of Differential Privacy: the Sparse and Approximate Cases
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2012
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Aleksandar Nikolov
Kunal Talwar
Li Zhang
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PDF
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Beck's Three Permutations Conjecture: A Counterexample and Some Consequences
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2012
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Alantha Newman
Ofer Neiman
Aleksandar Nikolov
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PDF
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Optimal private halfspace counting via discrepancy
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2012
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S. Muthukrishnan
Aleksandar Nikolov
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The Geometry of Differential Privacy: the Sparse and Approximate Cases
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2012
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Aleksandar Nikolov
Kunal Talwar
Li Zhang
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Optimal Private Halfspace Counting via Discrepancy
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2012
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S. Muthukrishnan
Aleksandar Nikolov
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Tight Hardness Results for Minimizing Discrepancy
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2011
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Moses Charikar
Alantha Newman
Aleksandar Nikolov
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A counterexample to Beck's conjecture on the discrepancy of three permutations
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2011
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Alantha Newman
Aleksandar Nikolov
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Pan-private Algorithms: When Memory Does Not Help
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2010
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Darakhshan Mir
S. Muthukrishnan
Aleksandar Nikolov
Rebecca N. Wright
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Pan-private Algorithms: When Memory Does Not Help
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2010
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Darakhshan Mir
S. Muthukrishnan
Aleksandar Nikolov
Rebecca N. Wright
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Limits of Approximation Algorithms: PCPs and Unique Games (DIMACS Tutorial Lecture Notes)
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2010
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Prahladh Harsha
Moses Charikar
Matthew Andrews
Sanjeev Arora
Subhash Khot
Dana Moshkovitz
Lisa Zhang
Ashkan Aazami
Dev Desai
Igor Gorodezky
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Fourier decomposition of Cepheid light curves.
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1994
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Aleksandar Nikolov
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