Aleksandar Nikolov
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
30
Venues
10
Active years
2011–2026
Best venue rank
A*
Where they publish
Papers
30 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | COLT | On the Gradient Complexity of Private Optimization with Private Oracles. | Michael Menart, Aleksandar Nikolov |
| 2026 | STOC | Online Matrix Factorization, Online Private Query Release, and Online Discrepancy Minimization. | Aleksandar Nikolov, Haohua Tang, Jonathan Ullman |
| 2023 | AAAI | Partitioning Friends Fairly. | Lily Li, Evi Micha, Aleksandar Nikolov, Nisarg Shah |
| 2023 | SODA | Private Query Release via the Johnson-Lindenstrauss Transform. | Aleksandar Nikolov |
| 2021 | SODA | Approximate Nearest Neighbors Beyond Space Partitions. | Alexandr Andoni, Aleksandar Nikolov, Ilya P. Razenshteyn, Erik Waingarten |
| 2020 | COLT | Locally Private Hypothesis Selection. | Sivakanth Gopi, Gautam Kamath, Janardhan Kulkarni, Aleksandar Nikolov, Zhiwei Steven Wu, Huanyu Zhang |
| 2020 | ESA | On the Computational Complexity of Linear Discrepancy. | Lily Li, Aleksandar Nikolov |
| 2020 | FOCS | Maximizing Determinants under Matroid Constraints. | Vivek Madan, Aleksandar Nikolov, Mohit Singh, Uthaipon Tantipongpipat |
| 2020 | ICML | Private Query Release Assisted by Public Data. | Raef Bassily, Albert Cheu, Shay Moran, Aleksandar Nikolov, Jonathan R. Ullman, Zhiwei Steven Wu |
| 2020 | SODA | Sticky Brownian Rounding and its Applications to Constraint Satisfaction Problems. | Sepehr Abbasi Zadeh, Nikhil Bansal, Guru Guruganesh, Aleksandar Nikolov, Roy Schwartz, Mohit Singh |
| 2020 | STOC | The power of factorization mechanisms in local and central differential privacy. | Alexander Edmonds, Aleksandar Nikolov, Jonathan R. Ullman |
| 2019 | COLT | On Mean Estimation for General Norms with Statistical Queries. | Jerry Li, Aleksandar Nikolov, Ilya P. Razenshteyn, Erik Waingarten |
| 2019 | SODA | Towards Instance-Optimal Private Query Release. | Jaroslaw Blasiok, Mark Bun, Aleksandar Nikolov, Thomas Steinke |
| 2019 | SODA | Proportional Volume Sampling and Approximation Algorithms for A-Optimal Design. | Aleksandar Nikolov, Mohit Singh, Uthaipon Tao Tantipongpipat |
| 2018 | FOCS | Hlder Homeomorphisms and Approximate Nearest Neighbors. | Alexandr Andoni, Assaf Naor, Aleksandar Nikolov, Ilya P. Razenshteyn, Erik Waingarten |
| 2018 | FOCS | Balancing Vectors in Any Norm. | Daniel Dadush, Aleksandar Nikolov, Kunal Talwar, Nicole Tomczak-Jaegermann |
| 2018 | STOC | Data-dependent hashing via nonlinear spectral gaps. | Alexandr Andoni, Assaf Naor, Aleksandar Nikolov, Ilya P. Razenshteyn, Erik Waingarten |
| 2017 | STOC | Approximate near neighbors for general symmetric norms. | Alexandr Andoni, Huy L. Nguyen, Aleksandar Nikolov, Ilya P. Razenshteyn, Erik Waingarten |
| 2016 | STOC | Maximizing determinants under partition constraints. | Aleksandar Nikolov, Mohit Singh |
| 2015 | ICALP | An Improved Private Mechanism for Small Databases. | Aleksandar Nikolov |
| 2015 | SODA | Approximating Hereditary Discrepancy via Small Width Ellipsoids. | Aleksandar Nikolov, Kunal Talwar |
| 2015 | STOC | Randomized Rounding for the Largest Simplex Problem. | Aleksandar Nikolov |
| 2014 | STOC | Parallel algorithms for geometric graph problems. | Alexandr Andoni, Aleksandar Nikolov, Krzysztof Onak, Grigory Yaroslavtsev |
| 2013 | ESA | Nearly Optimal Private Convolution. | Nadia Fawaz, S. Muthukrishnan, Aleksandar Nikolov |
| 2013 | ICDT | Private decayed predicate sums on streams. | Jean Bolot, Nadia Fawaz, S. Muthukrishnan, Aleksandar Nikolov, Nina Taft |
| 2013 | STOC | The geometry of differential privacy: the sparse and approximate cases. | Aleksandar Nikolov, Kunal Talwar, Li Zhang |
| 2012 | FOCS | Beck's Three Permutations Conjecture: A Counterexample and Some Consequences. | Alantha Newman, Ofer Neiman, Aleksandar Nikolov |
| 2012 | STOC | Optimal private halfspace counting via discrepancy. | S. Muthukrishnan, Aleksandar Nikolov |
| 2011 | PODS | Pan-private algorithms via statistics on sketches. | Darakhshan J. Mir, S. Muthukrishnan, Aleksandar Nikolov, Rebecca N. Wright |
| 2011 | SODA | Tight Hardness Results for Minimizing Discrepancy. | Moses Charikar, Alantha Newman, Aleksandar Nikolov |