Nikos Arechiga
5 papers · 2017–2024 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Conference Polyglot Β· Silver
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Academic Marathon Β· Sprint
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Interdisciplinary Bridge Β· Bronze
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Research topics
Keywords
representation learning
(1)
constraint solving
(1)
data augmentation
(1)
inverse reinforcement learning
(1)
abstraction refinement
(1)
label noise
(1)
sensitivity analysis
(1)
machine learning
(1)
adaptive regularization
(1)
hyperparameter tuning
(1)
second-order optimization
(1)
bilevel optimization
(1)
entropy regularization
(1)
imbalanced data
(1)
reward function learning
(1)
symbolic abstraction
(1)
nonlinear programming
(1)
implicit function theorem
(1)
nonlinear constraint
(1)
margin loss
(1)
Papers
Learning true objectives: Linear algebraic characterizations of identifiability in inverse reinforcement learning
L4DC 2024
Second-Order Sensitivity Analysis for Bilevel Optimization
AISTATS 2022
Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
ICLR 2021
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
NeurIPS 2019
Learning-Based Abstractions for Nonlinear Constraint Solving
IJCAI 2017