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Publication search results
found 32 matches
- 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) - 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) - Lorenzo Beretta, Jakub Tetek:
Better Sum Estimation via Weighted Sampling. CoRR abs/2110.14948 (2021) - 2020
- Jakub Tetek:
Sampling an Edge Uniformly in Sublinear Time. CoRR abs/2009.11178 (2020) - Jakub Tetek, Marek Sklenka, Tomas Gavenciak:
Performance of Bounded-Rational Agents With the Ability to Self-Modify. CoRR abs/2011.06275 (2020) - 2019
- Tomas Gavenciak
, Jakub Tetek
:
Compact I/O-Efficient Representation of Separable Graphs and Optimal Tree Layouts. TAMC 2019: 222-241 - Martin Hora, Václav Koncický, Jakub Tetek
:
Theoretical Model of Computation and Algorithms for FPGA-Based Hardware Accelerators. TAMC 2019: 295-312 - 2018
- 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 - Martin Hora, Václav Koncický, Jakub Tetek:
Theoretical Model of Computation and Algorithms for FPGA-based Hardware Accelerators. CoRR abs/1807.03611 (2018)
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retrieved on 2023-10-02 04:15 CEST from data curated by the dblp team
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