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Publication search results
found 39 matches
- 2024
- Christian Janos Lebeda, Jakub Tetek:
Better Differentially Private Approximate Histograms and Heavy Hitters using the Misra-Gries Sketch. SIGMOD Rec. 53(1): 7-14 (2024) - Lorenzo Beretta, Jakub Tetek:
Better Sum Estimation via Weighted Sampling. ACM Trans. Algorithms 20(3): 27 (2024) - Jakub Tetek:
Additive Noise Mechanisms for Making Randomized Approximation Algorithms Differentially Private. APPROX/RANDOM 2024: 73:1-73:20 - Bernhard Haeupler, Richard Hladík, John Iacono, Václav Rozhon, Robert E. Tarjan, Jakub Tetek:
Fast and Simple Sorting Using Partial Information. CoRR abs/2404.04552 (2024) - Richard Hladík, Jakub Tetek:
Near-Universally-Optimal Differentially Private Minimum Spanning Trees. CoRR abs/2404.15035 (2024) - Richard Hladík, Jakub Tetek:
Smooth Sensitivity Revisited: Towards Optimality. CoRR abs/2407.05067 (2024) - 2023
- Talya Eden, Jakob Bæk Tejs Houen, Shyam Narayanan, Will Rosenbaum, Jakub Tetek:
Bias Reduction for Sum Estimation. APPROX/RANDOM 2023: 62:1-62:21 - Christian Janos Lebeda, Jakub Tetek:
Better Differentially Private Approximate Histograms and Heavy Hitters using the Misra-Gries Sketch. PODS 2023: 79-88 - Christoph Grunau, Ahmet Alper Özüdogru, Václav Rozhon, Jakub Tetek:
A Nearly Tight Analysis of Greedy k-means++. SODA 2023: 1012-1070 - Jacob Holm, Jakub Tetek:
Massively Parallel Computation on Embedded Planar Graphs. SODA 2023: 4373-4408 - Talya Eden, Shyam Narayanan, Jakub Tetek:
Sampling an Edge in Sublinear Time Exactly and Optimally. SOSA 2023: 253-260 - Shyam Narayanan, Jakub Tetek:
Estimating the Effective Support Size in Constant Query Complexity. SOSA 2023: 242-252 - Christian Janos Lebeda, Jakub Tetek:
Better Differentially Private Approximate Histograms and Heavy Hitters using the Misra-Gries Sketch. CoRR abs/2301.02457 (2023) - Bernhard Haeupler, Richard Hladík, Václav Rozhon, Robert E. Tarjan, Jakub Tetek:
Universal Optimality of Dijkstra via Beyond-Worst-Case Heaps. CoRR abs/2311.11793 (2023) - 2022
- Jakub Tetek:
Approximate Triangle Counting via Sampling and Fast Matrix Multiplication. ICALP 2022: 107:1-107:20 - Maciej Besta, Cesare Miglioli, Paolo Sylos Labini, Jakub Tetek, Patrick Iff, Raghavendra Kanakagiri, Saleh Ashkboos, Kacper Janda, Michal Podstawski, Grzegorz Kwasniewski, Niels Gleinig, Flavio Vella, Onur Mutlu, Torsten Hoefler:
ProbGraph: High-Performance and High-Accuracy Graph Mining with Probabilistic Set Representations. SC 2022: 43:1-43:17 - Lorenzo Beretta, Jakub Tetek:
Better Sum Estimation via Weighted Sampling. SODA 2022: 2303-2338 - Jakub Tetek, Mikkel Thorup:
Edge sampling and graph parameter estimation via vertex neighborhood accesses. STOC 2022: 1116-1129 - Jacob Holm, Jakub Tetek:
Massively Parallel Computation and Sublinear-Time Algorithms for Embedded Planar Graphs. CoRR abs/2204.09035 (2022) - Christoph Grunau, Ahmet Alper Özüdogru, Václav Rozhon, Jakub Tetek:
A Nearly Tight Analysis of Greedy k-means++. CoRR abs/2207.07949 (2022) - Talya Eden, Jakob Bæk Tejs Houen, Shyam Narayanan, Will Rosenbaum, Jakub Tetek:
Bias Reduction for Sum Estimation. CoRR abs/2208.01197 (2022) - Maciej Besta, Cesare Miglioli, Paolo Sylos Labini, Jakub Tetek, Patrick Iff, Raghavendra Kanakagiri, Saleh Ashkboos, Kacper Janda, Michal Podstawski, Grzegorz Kwasniewski, Niels Gleinig, Flavio Vella, Onur Mutlu, Torsten Hoefler:
ProbGraph: High-Performance and High-Accuracy Graph Mining with Probabilistic Set Representations. CoRR abs/2208.11469 (2022) - Jakub Tetek:
Additive Noise Mechanisms for Making Randomized Approximation Algorithms Differentially Private. CoRR abs/2211.03695 (2022) - Talya Eden, Shyam Narayanan, Jakub Tetek:
Sampling an Edge in Sublinear Time Exactly and Optimally. CoRR abs/2211.04981 (2022) - Shyam Narayanan, Jakub Tetek:
Estimating the Effective Support Size in Constant Query Complexity. CoRR abs/2211.11344 (2022) - 2021
- Jakub Tetek, Marek Sklenka, Tomas Gavenciak:
Performance of Bounded-Rational Agents With the Ability to Self-Modify. SafeAI@AAAI 2021 - Kasper Green Larsen, Rasmus Pagh, Jakub Tetek:
CountSketches, Feature Hashing and the Median of Three. ICML 2021: 6011-6020 - Kasper Green Larsen, Rasmus Pagh, Jakub Tetek:
CountSketches, Feature Hashing and the Median of Three. CoRR abs/2102.02193 (2021) - Jakub Tetek:
Approximate Triangle Counting via Sampling and Fast Matrix Multiplication. CoRR abs/2104.08501 (2021) - Jakub Tetek, Mikkel Thorup:
Sampling and Counting Edges via Vertex Accesses. CoRR abs/2107.03821 (2021)
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