Joon Kwon

13 papers A* 1A 1Journal 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
A regret minimization approach to fixed-point iterations.
CoRR
Joon Kwon
2024 J jnl
pyPLNmodels: A Python package to analyze multivariate high-dimensional count data.
J. Open Source Softw.
Bastien Batardiere, Joon Kwon, Julien Chiquet
2023 J jnl
Blackwell's Approachability with Time-Dependent Outcome Functions and Dot Products. Application to the Big Match.
CoRR
Joon Kwon, Bruno Ziliotto
2023 J jnl
Unifying mirror descent and dual averaging.
Math. Program.
Anatoli B. Juditsky, Joon Kwon, Éric Moulines
2021 J jnl
Refined approachability algorithms and application to regret minimization with global costs.
J. Mach. Learn. Res.
Joon Kwon
2020 J jnl
Refined approachability algorithms and application to regret minimization with global costs.
CoRR
Joon Kwon
2019 J jnl
Unifying mirror descent and dual averaging.
CoRR
Anatoli B. Juditsky, Joon Kwon, Eric Moulines
2017 A conf
Online Learning and Blackwell Approachability with Partial Monitoring: Optimal Convergence Rates.
AISTATS
Joon Kwon, Vianney Perchet
2017 A* conf
Sparse Stochastic Bandits.
COLT
Joon Kwon, Vianney Perchet, Claire Vernade
2017 J jnl
Sparse Stochastic Bandits.
CoRR
Joon Kwon, Vianney Perchet, Claire Vernade
2016 J jnl
Gains and Losses are Fundamentally Different in Regret Minimization: The Sparse Case.
J. Mach. Learn. Res.
Joon Kwon, Vianney Perchet
2015 J jnl
Gains and Losses are Fundamentally Different in Regret Minimization: The Sparse Case.
CoRR
Joon Kwon, Vianney Perchet
2014 J jnl
A continuous-time approach to online optimization.
CoRR
Joon Kwon, Panayotis Mertikopoulos