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ORCIDAdam Polak 0001
Person information
- affiliation: Bocconi Universit, Milan, Italy
- affiliation (former): MPI Informatics, Germany
- affiliation (former): EPFL, Switzerland
- affiliation (former): Jagiellonian University, Krakow, Poland
Other persons with the same name
- Adam Polak 0002
![[0000-0001-6550-7716]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-6550-7716")
— University of Strathclyde, Glasgow, UK (and 1 more) - Adam Polak 0003 — Arizona State University, AZ, USA
- Adam Polak 0004 — Polish Naval Academy, Gdynia, Poland
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2020 – today
- 2024
[c22]Nick Fischer, Piotr Kaliciak, Adam Polak:
Deterministic 3SUM-Hardness. ITCS 2024: 49:1-49:24- [c21]Jana Cslovjecsek, Martin Koutecký, Alexandra Lassota, Michal Pilipczuk, Adam Polak:
Parameterized algorithms for block-structured integer programs with large entries. SODA 2024: 740-751 - [c20]Jan van den Brand, Sebastian Forster, Yasamin Nazari, Adam Polak:
On Dynamic Graph Algorithms with Predictions. SODA 2024: 3534-3557 - 2023
- [j4]Antonios Antoniadis, Christian Coester, Marek Eliás, Adam Polak, Bertrand Simon:
Online Metric Algorithms with Untrusted Predictions. ACM Trans. Algorithms 19(2): 19:1-19:34 (2023) - [c19]Tomasz Kociumaka, Adam Polak:
Bellman-Ford Is Optimal for Shortest Hop-Bounded Paths. ESA 2023: 72:1-72:10 - [c18]Antonios Antoniadis, Joan Boyar, Marek Eliás, Lene Monrad Favrholdt, Ruben Hoeksma, Kim S. Larsen, Adam Polak, Bertrand Simon:
Paging with Succinct Predictions. ICML 2023: 952-968 - [c17]Antonios Antoniadis, Christian Coester, Marek Eliás, Adam Polak, Bertrand Simon:
Mixing Predictions for Online Metric Algorithms. ICML 2023: 969-983 - [c16]Kim-Manuel Klein, Adam Polak, Lars Rohwedder:
On Minimizing Tardy Processing Time, Max-Min Skewed Convolution, and Triangular Structured ILPs. SODA 2023: 2947-2960 - [i25]Antonios Antoniadis, Christian Coester, Marek Eliás, Adam Polak, Bertrand Simon:
Mixing predictions for online metric algorithms. CoRR abs/2304.01781 (2023) - [i24]Jan van den Brand, Sebastian Forster, Yasamin Nazari, Adam Polak:
On Dynamic Graph Algorithms with Predictions. CoRR abs/2307.09961 (2023) - [i23]Nick Fischer, Piotr Kaliciak, Adam Polak:
Deterministic 3SUM-Hardness. CoRR abs/2310.12913 (2023) - [i22]Jana Cslovjecsek, Martin Koutecký, Alexandra Lassota, Michal Pilipczuk, Adam Polak:
Parameterized algorithms for block-structured integer programs with large entries. CoRR abs/2311.01890 (2023) - [i21]Bingbing Hu, Evangelos Kosinas, Adam Polak:
Connectivity Oracles for Predictable Vertex Failures. CoRR abs/2312.08489 (2023) - 2022
- [c15]Aaron Berger, William Kuszmaul, Adam Polak, Jonathan Tidor, Nicole Wein:
Memoryless Worker-Task Assignment with Polylogarithmic Switching Cost. ICALP 2022: 19:1-19:19 - [c14]Alexandra Lassota, Aleksander Lukasiewicz, Adam Polak:
Tight Vector Bin Packing with Few Small Items via Fast Exact Matching in Multigraphs. ICALP 2022: 87:1-87:15 - [i20]Alexandra Lassota, Aleksander Lukasiewicz, Adam Polak:
Tight Vector Bin Packing with Few Small Items via Fast Exact Matching in Multigraphs. CoRR abs/2203.10077 (2022) - [i19]Adam Polak, Maksym Zub:
Learning-Augmented Maximum Flow. CoRR abs/2207.12911 (2022) - [i18]Antonios Antoniadis, Joan Boyar, Marek Eliás, Lene M. Favrholdt, Ruben Hoeksma, Kim S. Larsen, Adam Polak, Bertrand Simon:
Paging with Succinct Predictions. CoRR abs/2210.02775 (2022) - [i17]Kim-Manuel Klein, Adam Polak, Lars Rohwedder:
On Minimizing Tardy Processing Time, Max-Min Skewed Convolution, and Triangular Structured ILPs. CoRR abs/2211.05053 (2022) - [i16]Adam Polak:
Bellman-Ford is optimal for shortest hop-bounded paths. CoRR abs/2211.07325 (2022) - 2021
- [c13]Yuzhou Gu, Adam Polak, Virginia Vassilevska Williams, Yinzhan Xu:
Faster Monotone Min-Plus Product, Range Mode, and Single Source Replacement Paths. ICALP 2021: 75:1-75:20 - [c12]Adam Polak, Lars Rohwedder, Karol Wegrzycki:
Knapsack and Subset Sum with Small Items. ICALP 2021: 106:1-106:19 - [c11]Jakub Chledowski, Adam Polak, Bartosz Szabucki, Konrad Tomasz Zolna:
Robust Learning-Augmented Caching: An Experimental Study. ICML 2021: 1920-1930 - [c10]Adam Polak, Adrian Siwiec, Michal Stobierski:
Euler Meets GPU: Practical Graph Algorithms with Theoretical Guarantees. IPDPS 2021: 233-244 - [c9]Antonios Antoniadis, Christian Coester, Marek Eliás, Adam Polak, Bertrand Simon:
Learning-Augmented Dynamic Power Management with Multiple States via New Ski Rental Bounds. NeurIPS 2021: 16714-16726 - [c8]Buddhima Gamlath, Xinrui Jia, Adam Polak, Ola Svensson:
Nearly-Tight and Oblivious Algorithms for Explainable Clustering. NeurIPS 2021: 28929-28939 - [i15]Adam Polak, Adrian Siwiec, Michal Stobierski:
Euler Meets GPU: Practical Graph Algorithms with Theoretical Guarantees. CoRR abs/2103.15217 (2021) - [i14]Yuzhou Gu, Adam Polak, Virginia Vassilevska Williams, Yinzhan Xu:
Faster Monotone Min-Plus Product, Range Mode, and Single Source Replacement Paths. CoRR abs/2105.02806 (2021) - [i13]Adam Polak, Lars Rohwedder, Karol Wegrzycki:
Knapsack and Subset Sum with Small Items. CoRR abs/2105.04035 (2021) - [i12]Jakub Chledowski, Adam Polak, Bartosz Szabucki, Konrad Zolna:
Robust Learning-Augmented Caching: An Experimental Study. CoRR abs/2106.14693 (2021) - [i11]Buddhima Gamlath, Xinrui Jia, Adam Polak, Ola Svensson:
Nearly-Tight and Oblivious Algorithms for Explainable Clustering. CoRR abs/2106.16147 (2021) - [i10]Antonios Antoniadis, Christian Coester, Marek Eliás, Adam Polak, Bertrand Simon:
Learning-Augmented Dynamic Power Management with Multiple States via New Ski Rental Bounds. CoRR abs/2110.13116 (2021) - 2020
- [c7]Joanna Chybowska-Sokól, Grzegorz Gutowski, Konstanty Junosza-Szaniawski, Patryk Mikos, Adam Polak:
Online Coloring of Short Intervals. APPROX-RANDOM 2020: 52:1-52:18 - [c6]Antonios Antoniadis, Christian Coester, Marek Eliás, Adam Polak, Bertrand Simon:
Online metric algorithms with untrusted predictions. ICML 2020: 345-355 - [c5]Andrea Lincoln, Adam Polak, Virginia Vassilevska Williams:
Monochromatic Triangles, Intermediate Matrix Products, and Convolutions. ITCS 2020: 53:1-53:18 - [c4]Lech Duraj, Krzysztof Kleiner, Adam Polak, Virginia Vassilevska Williams:
Equivalences between triangle and range query problems. SODA 2020: 30-47 - [i9]Antonios Antoniadis, Christian Coester, Marek Eliás, Adam Polak, Bertrand Simon:
Online metric algorithms with untrusted predictions. CoRR abs/2003.02144 (2020) - [i8]Aaron Berger, William Kuszmaul, Adam Polak, Jonathan Tidor, Nicole Wein:
Algorithms and Lower Bounds for the Worker-Task Assignment Problem. CoRR abs/2008.10709 (2020) - [i7]Andrea Lincoln, Adam Polak, Virginia Vassilevska Williams:
Monochromatic Triangles, Intermediate Matrix Products, and Convolutions. CoRR abs/2009.14479 (2020)
2010 – 2019
- 2019
- [j3]Lech Duraj, Marvin Künnemann, Adam Polak:
Tight Conditional Lower Bounds for Longest Common Increasing Subsequence. Algorithmica 81(10): 3968-3992 (2019) - [i6]Lech Duraj, Krzysztof Kleiner, Adam Polak, Virginia Vassilevska Williams:
Equivalences between triangle and range query problems. CoRR abs/1908.11819 (2019) - 2018
- [j2]Adam Polak:
Why is it hard to beat O(n2) for Longest Common Weakly Increasing Subsequence? Inf. Process. Lett. 132: 1-5 (2018) - [j1]Grzegorz Guspiel, Piotr Micek, Adam Polak:
On an Extremal Problem for Poset Dimension. Order 35(3): 489-493 (2018) - [i5]Grzegorz Gutowski, Konstanty Junosza-Szaniawski, Patryk Mikos, Adam Polak, Joanna Sokól:
Online Coloring of Short Intervals. CoRR abs/1802.09503 (2018) - 2017
- [c3]Lech Duraj, Marvin Künnemann, Adam Polak:
Tight Conditional Lower Bounds for Longest Common Increasing Subsequence. IPEC 2017: 15:1-15:13 - [i4]Adam Polak:
Why is it hard to beat O(n2) for Longest Common Weakly Increasing Subsequence? CoRR abs/1703.01143 (2017) - [i3]Grzegorz Guspiel, Piotr Micek, Adam Polak:
On an extremal problem for poset dimension. CoRR abs/1705.00176 (2017) - [i2]Lech Duraj, Marvin Künnemann, Adam Polak:
Tight Conditional Lower Bounds for Longest Common Increasing Subsequence. CoRR abs/1709.10075 (2017) - 2016
- [c2]Adam Polak:
Counting Triangles in Large Graphs on GPU. IPDPS Workshops 2016: 740-746 - 2015
- [i1]Adam Polak:
Counting Triangles in Large Graphs on GPU. CoRR abs/1503.00576 (2015) - 2012
- [c1]Maciej Chociej, Adam Polak:
Real Time Object Tracking on GPGPU. VISAPP (2) 2012: 303-310
Coauthor Index
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