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ORCIDJakub Tetek
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2020 – today
- 2024
[j2]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)- [j1]Lorenzo Beretta
, Jakub Tetek:
Better Sum Estimation via Weighted Sampling. ACM Trans. Algorithms 20(3): 27 (2024) - [c16]Jakub Tetek:
Additive Noise Mechanisms for Making Randomized Approximation Algorithms Differentially Private. APPROX/RANDOM 2024: 73:1-73:20 - [i21]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) - [i20]Richard Hladík, Jakub Tetek:
Near-Universally-Optimal Differentially Private Minimum Spanning Trees. CoRR abs/2404.15035 (2024) - [i19]Richard Hladík, Jakub Tetek:
Smooth Sensitivity Revisited: Towards Optimality. CoRR abs/2407.05067 (2024) - 2023
- [c15]Talya Eden, Jakob Bæk Tejs Houen, Shyam Narayanan, Will Rosenbaum, Jakub Tetek:
Bias Reduction for Sum Estimation. APPROX/RANDOM 2023: 62:1-62:21 - [c14]Christian Janos Lebeda, Jakub Tetek:
Better Differentially Private Approximate Histograms and Heavy Hitters using the Misra-Gries Sketch. PODS 2023: 79-88 - [c13]Christoph Grunau, Ahmet Alper Özüdogru, Václav Rozhon, Jakub Tetek:
A Nearly Tight Analysis of Greedy k-means++. SODA 2023: 1012-1070 - [c12]Jacob Holm, Jakub Tetek:
Massively Parallel Computation on Embedded Planar Graphs. SODA 2023: 4373-4408 - [c11]Shyam Narayanan, Jakub Tetek:
Estimating the Effective Support Size in Constant Query Complexity. SOSA 2023: 242-252 - [c10]Talya Eden, Shyam Narayanan, Jakub Tetek:
Sampling an Edge in Sublinear Time Exactly and Optimally. SOSA 2023: 253-260 - [i18]Christian Janos Lebeda, Jakub Tetek:
Better Differentially Private Approximate Histograms and Heavy Hitters using the Misra-Gries Sketch. CoRR abs/2301.02457 (2023) - [i17]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
- [c9]Jakub Tetek:
Approximate Triangle Counting via Sampling and Fast Matrix Multiplication. ICALP 2022: 107:1-107:20 - [c8]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 - [c7]Lorenzo Beretta, Jakub Tetek:
Better Sum Estimation via Weighted Sampling. SODA 2022: 2303-2338 - [c6]Jakub Tetek, Mikkel Thorup:
Edge sampling and graph parameter estimation via vertex neighborhood accesses. STOC 2022: 1116-1129 - [i16]Jacob Holm, Jakub Tetek:
Massively Parallel Computation and Sublinear-Time Algorithms for Embedded Planar Graphs. CoRR abs/2204.09035 (2022) - [i15]Christoph Grunau, Ahmet Alper Özüdogru, Václav Rozhon, Jakub Tetek:
A Nearly Tight Analysis of Greedy k-means++. CoRR abs/2207.07949 (2022) - [i14]Talya Eden, Jakob Bæk Tejs Houen, Shyam Narayanan, Will Rosenbaum, Jakub Tetek:
Bias Reduction for Sum Estimation. CoRR abs/2208.01197 (2022) - [i13]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) - [i12]Jakub Tetek:
Additive Noise Mechanisms for Making Randomized Approximation Algorithms Differentially Private. CoRR abs/2211.03695 (2022) - [i11]Talya Eden, Shyam Narayanan, Jakub Tetek:
Sampling an Edge in Sublinear Time Exactly and Optimally. CoRR abs/2211.04981 (2022) - [i10]Shyam Narayanan, Jakub Tetek:
Estimating the Effective Support Size in Constant Query Complexity. CoRR abs/2211.11344 (2022) - 2021
- [c5]Jakub Tetek, Marek Sklenka, Tomas Gavenciak:
Performance of Bounded-Rational Agents With the Ability to Self-Modify. SafeAI@AAAI 2021 - [c4]Kasper Green Larsen, Rasmus Pagh, Jakub Tetek:
CountSketches, Feature Hashing and the Median of Three. ICML 2021: 6011-6020 - [i9]Kasper Green Larsen, Rasmus Pagh, Jakub Tetek:
CountSketches, Feature Hashing and the Median of Three. CoRR abs/2102.02193 (2021) - [i8]Jakub Tetek:
Approximate Triangle Counting via Sampling and Fast Matrix Multiplication. CoRR abs/2104.08501 (2021) - [i7]Jakub Tetek, Mikkel Thorup:
Sampling and Counting Edges via Vertex Accesses. CoRR abs/2107.03821 (2021) - [i6]Lorenzo Beretta, Jakub Tetek:
Better Sum Estimation via Weighted Sampling. CoRR abs/2110.14948 (2021) - 2020
- [i5]Jakub Tetek:
Sampling an Edge Uniformly in Sublinear Time. CoRR abs/2009.11178 (2020) - [i4]Jakub Tetek, Marek Sklenka, Tomas Gavenciak:
Performance of Bounded-Rational Agents With the Ability to Self-Modify. CoRR abs/2011.06275 (2020)
2010 – 2019
- 2019
- [c3]Tomas Gavenciak, Jakub Tetek:
Compact I/O-Efficient Representation of Separable Graphs and Optimal Tree Layouts. TAMC 2019: 222-241 - [c2]Martin Hora, Václav Koncický, Jakub Tetek:
Theoretical Model of Computation and Algorithms for FPGA-Based Hardware Accelerators. TAMC 2019: 295-312 - 2018
- [c1]Matej Konecný, Stanislav Kucera, Jana Novotná, Jakub Pekárek, Martin Smolík, Jakub Tetek, Martin Töpfer:
On the Simultaneous Minimum Spanning Trees Problem. CALDAM 2018: 235-248 - [i3]Martin Hora, Václav Koncický, Jakub Tetek:
Theoretical Model of Computation and Algorithms for FPGA-based Hardware Accelerators. CoRR abs/1807.03611 (2018) - [i2]Tomas Gavenciak, Jakub Tetek:
Compact I/O-Efficient Representation of Separable Graphs and Optimal Tree Layouts. CoRR abs/1811.06749 (2018) - 2017
- [i1]Matej Konecný, Stanislav Kucera, Jana Novotná, Jakub Pekárek, Martin Smolík, Jakub Tetek, Martin Töpfer:
On the Simultaneous Minimum Spanning Trees Problem. CoRR abs/1712.00253 (2017)
Coauthor Index
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last updated on 2024-09-18 00:06 CEST by the dblp team
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