In-Koo Cho

14 papers A* 1Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Learning underspecified models.
J. Econ. Theory
In-Koo Cho, Jonathan Libgober
2024 A* conf
Iterative Weak Learnability and Multiclass AdaBoost.
KDD
In-Koo Cho, Jonathan A. Libgober, Cheng Ding
2023 J jnl
Signaling games with endogenous types.
Int. J. Game Theory
In-Koo Cho
2022 J jnl
Learning Underspecified Models.
CoRR
In-Koo Cho, Jonathan Libgober
2021 J jnl
Iterative Weak Learnability and Multi-Class AdaBoost.
CoRR
In-Koo Cho, Jonathan Libgober
2017 J jnl
Foundation of competitive equilibrium with non-transferable utility.
J. Econ. Theory
In-Koo Cho, Akihiko Matsui
2013 J jnl
Search theory, competitive equilibrium, and the Nash bargaining solution.
J. Econ. Theory
In-Koo Cho, Akihiko Matsui
2012 J jnl
A Dynamic Foundation of the Rawlsian Maxmin Criterion.
Dyn. Games Appl.
In-Koo Cho, Akihiko Matsui
2007 — conf
Efficiency and marginal cost pricing in dynamic competitive markets with friction.
CDC
In-Koo Cho, Sean P. Meyn
2006 J jnl
Reliability by design in distributed power transmission networks.
Autom.
Mike Chen, In-Koo Cho, Sean P. Meyn
2005 J jnl
Introduction to learning and bounded rationality.
J. Econ. Theory
In-Koo Cho
2005 J jnl
Learning aspiration in repeated games.
J. Econ. Theory
In-Koo Cho, Akihiko Matsui
2003 — conf
Dynamics of ancillary service prices in power distribution systems.
CDC
In-Koo Cho, Sean P. Meyn
2001 J jnl
Convergence of Least Squares Learning in Self-Referential Discontinuous Stochastic Models.
J. Econ. Theory
In-Koo Cho
2025 Best paper conf
Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.
CheckMATE
Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda
2026 Best paper preprint
ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.
arXiv
Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski