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2020 – today
- 2023
[j3]Anatoli B. Juditsky, Joon Kwon
, Éric Moulines:
Unifying mirror descent and dual averaging. Math. Program. 199(1): 793-830 (2023)- [i6]Joon Kwon, Bruno Ziliotto:
Blackwell's Approachability with Time-Dependent Outcome Functions and Dot Products. Application to the Big Match. CoRR abs/2303.04956 (2023) - 2021
- [j2]Joon Kwon:
Refined approachability algorithms and application to regret minimization with global costs. J. Mach. Learn. Res. 22: 200:1-200:38 (2021) - 2020
- [i5]Joon Kwon:
Refined approachability algorithms and application to regret minimization with global costs. CoRR abs/2009.03831 (2020)
2010 – 2019
- 2019
- [i4]Anatoli B. Juditsky, Joon Kwon, Eric Moulines:
Unifying mirror descent and dual averaging. CoRR abs/1910.13742 (2019) - 2017
- [c2]Joon Kwon, Vianney Perchet:
Online Learning and Blackwell Approachability with Partial Monitoring: Optimal Convergence Rates. AISTATS 2017: 604-613 - [c1]Joon Kwon, Vianney Perchet, Claire Vernade:
Sparse Stochastic Bandits. COLT 2017: 1269-1270 - [i3]Joon Kwon, Vianney Perchet, Claire Vernade:
Sparse Stochastic Bandits. CoRR abs/1706.01383 (2017) - 2016
- [j1]Joon Kwon, Vianney Perchet:
Gains and Losses are Fundamentally Different in Regret Minimization: The Sparse Case. J. Mach. Learn. Res. 17: 229:1-229:32 (2016) - 2015
- [i2]Joon Kwon, Vianney Perchet:
Gains and Losses are Fundamentally Different in Regret Minimization: The Sparse Case. CoRR abs/1511.08405 (2015) - 2014
- [i1]Joon Kwon, Panayotis Mertikopoulos:
A continuous-time approach to online optimization. CoRR abs/1401.6956 (2014)
Coauthor Index
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