Han Bao
35 papers · 2018–2026 · 13 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 14 separate collaboration groups - the largest holds only 26% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Han Bao?
8 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Masashi Sugiyama, Nontawat Charoenphakdee, Issei Sato
9 papers
· 2018–2025
· AISTATS, ICML, ACML
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Calm Composite Losses: Being Improper Yet Proper Composite
AISTATS 2025
Pairwise Supervision Can Provably Elicit a Decision Boundary
AISTATS 2022
Robust computation of optimal transport by
$β$-potential regularization
ACML 2022
Fenchel-Young Losses with Skewed Entropies for Class-posterior Probability Estimation
AISTATS 2021
Calibrated Surrogate Losses for Adversarially Robust Classification
COLT 2020
Calibrated Surrogate Maximization of Linear-fractional Utility in Binary Classification
AISTATS 2020
Imitation Learning from Imperfect Demonstration
ICML 2019
Unsupervised Domain Adaptation Based on Source-Guided Discrepancy
AAAI 2019
Classification from Pairwise Similarity and Unlabeled Data
ICML 2018
6 papers whose co-authors appear nowhere else under this name
LiD-FL: Towards List-Decodable Federated Learning
AAAI 2025
Proper losses regret at least 1/2-order
JMLR 2025
BEVStereo: Enhancing Depth Estimation in Multi-View 3D Object Detection with Temporal Stereo
AAAI 2023
Proper Losses, Moduli of Convexity, and Surrogate Regret Bounds
COLT 2023
IMap: Fast and Scalable In-Network Scanning with Programmable Switches
NSDI 2022
On the Surrogate Gap between Contrastive and Supervised Losses
ICML 2022