Arechiga, Nikos

7 publications

L4DC 2024 Learning True Objectives: Linear Algebraic Characterizations of Identifiability in Inverse Reinforcement Learning Mohamad Louai Shehab, Antoine Aspeel, Nikos Arechiga, Andrew Best, Necmiye Ozay

NeurIPSW 2024 Stylish and Functional: Guided Interpolation Subject to Physical Constraints Yan-Ying Chen, Nikos Arechiga, Chenyang Yuan, Matthew K Hong, Matthew Klenk, Charlene C. Wu

NeurIPSW 2024 Using LLMs to Model the Beliefs and Preferences of Targeted Populations Keiichi Namikoshi, Alexandre Filipowicz, David Ayman Shamma, Rumen I Iliev, Candice L Hogan, Nikos Arechiga

AISTATS 2022 Second-Order Sensitivity Analysis for Bilevel Optimization Robert Dyro, Edward Schmerling, Nikos Arechiga, Marco Pavone

ICLR 2021 Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization Kaidi Cao, Yining Chen, Junwei Lu, Nikos Arechiga, Adrien Gaidon, Tengyu Ma

NeurIPS 2019 Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss Kaidi Cao, Colin Wei, Adrien Gaidon, Nikos Arechiga, Tengyu Ma

IJCAI 2017 Learning-Based Abstractions for Nonlinear Constraint Solving Sumanth Dathathri, Nikos Aréchiga, Sicun Gao, Richard M. Murray