Ikko Yamane
9 papers · 2016–2024 · 6 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (27) π§ Keyword Pioneer π Conference Polyglot (6)
π
Academic Marathon
(8)
π
Cross-Pollinator
(14)
π
Renaissance Researcher
(5)
π
Trend Setter
β
The Questioner
(2)
Conferences
ACML (3)
ICML (2)
AISTATS (1)
ICLR (1)
JMLR (1)
NIPS (1)
Top co-authors
Keywords
transfer learning
(2)
covariate shift
(2)
domain adaptation
(2)
double descent
(1)
continuous optimization
(1)
convex optimization
(1)
supervised learning
(1)
function approximation
(1)
riemannian manifold
(1)
multitask learning
(1)
importance weighting
(1)
empirical risk minimization
(1)
bregman divergence
(1)
nearest neighbor
(1)
principal component analysis
(1)
statistical consistency
(1)
distribution shift
(1)
mean squared error
(1)
dimensionality reduction
(1)
causal inference
(1)
Papers
Nearest Neighbor Sampling for Covariate Shift Adaptation
JMLR 2024
Mediated Uncoupled Learning and Validation with Bregman Divergences: Loss Family with Maximal Generality
AISTATS 2023
Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification
ICLR 2023
Skew-symmetrically perturbed gradient flow for convex optimization
ACML 2021
Mediated Uncoupled Learning: Learning Functions without Direct Input-output Correspondences
ICML 2021
Do We Need Zero Training Loss After Achieving Zero Training Error?
ICML 2020
A One-step Approach to Covariate Shift Adaptation
ACML 2020
Uplift Modeling from Separate Labels
NIPS 2018
Multitask Principal Component Analysis
ACML 2016