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2020 – today
- 2024
[c11]Mikael Møller Høgsgaard, Lior Kamma, Kasper Green Larsen, Jelani Nelson, Chris Schwiegelshohn:
Sparse Dimensionality Reduction Revisited. ICML 2024- [c10]Yinon Horev, Shiraz Shay, Sarel Cohen, Tobias Friedrich, Davis Issac, Lior Kamma, Aikaterini Niklanovits, Kirill Simonov:
A Contraction Tree SAT Encoding for Computing Twin-Width. PAKDD (2) 2024: 444-456 - [i13]Sarel Cohen, Lior Kamma, Aikaterini Niklanovits:
A New Approach for Approximating Directed Rooted Networks. CoRR abs/2407.07543 (2024) - 2023
- [i12]Mikael Møller Høgsgaard, Lior Kamma, Kasper Green Larsen, Jelani Nelson, Chris Schwiegelshohn:
Sparse Dimensionality Reduction Revisited. CoRR abs/2302.06165 (2023) - 2020
- [c9]Allan Grønlund, Lior Kamma, Kasper Green Larsen:
Near-Tight Margin-Based Generalization Bounds for Support Vector Machines. ICML 2020: 3779-3788 - [c8]Allan Grønlund, Lior Kamma, Kasper Green Larsen:
Margins are Insufficient for Explaining Gradient Boosting. NeurIPS 2020 - [i11]Allan Grønlund, Lior Kamma, Kasper Green Larsen:
Near-Tight Margin-Based Generalization Bounds for Support Vector Machines. CoRR abs/2006.02175 (2020) - [i10]Allan Grønlund, Lior Kamma, Kasper Green Larsen:
Margins are Insufficient for Explaining Gradient Boosting. CoRR abs/2011.04998 (2020)
2010 – 2019
- 2019
- [c7]Peyman Afshani, Casper Benjamin Freksen, Lior Kamma, Kasper Green Larsen:
Lower Bounds for Multiplication via Network Coding. ICALP 2019: 10:1-10:12 - [c6]Allan Grønlund, Lior Kamma, Kasper Green Larsen, Alexander Mathiasen, Jelani Nelson:
Margin-Based Generalization Lower Bounds for Boosted Classifiers. NeurIPS 2019: 11940-11949 - [i9]Peyman Afshani, Casper Benjamin Freksen, Lior Kamma, Kasper Green Larsen:
Lower Bounds for Multiplication via Network Coding. CoRR abs/1902.10935 (2019) - [i8]Allan Grønlund, Lior Kamma, Kasper Green Larsen, Alexander Mathiasen, Jelani Nelson:
Margin-Based Generalization Lower Bounds for Boosted Classifiers. CoRR abs/1909.12518 (2019) - 2018
- [c5]Lior Kamma, Casper Benjamin Freksen, Kasper Green Larsen:
Fully Understanding The Hashing Trick. NeurIPS 2018: 5394-5404 - [c4]Diptarka Chakraborty, Lior Kamma, Kasper Green Larsen:
Tight cell probe bounds for succinct Boolean matrix-vector multiplication. STOC 2018: 1297-1306 - [i7]Lior Kamma, Ohad Trabelsi:
Nearly Optimal Time Bounds for kPath in Hypergraphs. CoRR abs/1803.04940 (2018) - [i6]Casper Benjamin Freksen, Lior Kamma, Kasper Green Larsen:
Fully Understanding the Hashing Trick. CoRR abs/1805.08539 (2018) - [i5]Alexandr Andoni, Lior Kamma, Robert Krauthgamer, Eric Price:
Batch Sparse Recovery, or How to Leverage the Average Sparsity. CoRR abs/1807.08478 (2018) - 2017
- [j3]Lior Kamma
, Robert Krauthgamer:
Metric Decompositions of Path-Separable Graphs. Algorithmica 79(3): 645-653 (2017) - [i4]Diptarka Chakraborty, Lior Kamma, Kasper Green Larsen:
Tight Cell Probe Bounds for Succinct Boolean Matrix-Vector Multiplication. CoRR abs/1711.04467 (2017) - 2016
- [c3]Rajesh Chitnis, Lior Kamma, Robert Krauthgamer:
Tight Bounds for Gomory-Hu-like Cut Counting. WG 2016: 133-144 - 2015
- [j2]Lior Kamma, Robert Krauthgamer, Huy L. Nguyen:
Cutting Corners Cheaply, or How to Remove Steiner Points. SIAM J. Comput. 44(4): 975-995 (2015) - [i3]Lior Kamma, Robert Krauthgamer:
Metric Decompositions of Path-Separable Graphs. CoRR abs/1504.07019 (2015) - [i2]Rajesh Chitnis, Lior Kamma, Robert Krauthgamer:
Tight Bounds for Gomory-Hu-like Cut Counting. CoRR abs/1511.08647 (2015) - 2014
- [c2]Lior Kamma, Robert Krauthgamer, Huy L. Nguyen:
Cutting corners cheaply, or how to remove Steiner points. SODA 2014: 1029-1040 - 2013
- [i1]Lior Kamma, Robert Krauthgamer, Huy L. Nguyen:
Cutting corners cheaply, or how to remove Steiner points. CoRR abs/1304.1449 (2013) - 2012
- [j1]Lior Kamma, Zeev Nutov:
Approximating survivable networks with minimum number of steiner points. Networks 60(4): 245-252 (2012) - 2010
- [c1]Lior Kamma, Zeev Nutov:
Approximating Survivable Networks with Minimum Number of Steiner Points. WAOA 2010: 154-165
Coauthor Index
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last updated on 2024-09-04 01:25 CEST by the dblp team
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