Search Results for author: Mohammad Ali Bashiri

Found 5 papers, 1 papers with code

Distributionally Robust Imitation Learning

no code implementations NeurIPS 2021 Mohammad Ali Bashiri, Brian Ziebart, Xinhua Zhang

We consider the imitation learning problem of learning a policy in a Markov Decision Process (MDP) setting where the reward function is not given, but demonstrations from experts are available.

Imitation Learning reinforcement-learning +1

Distributionally Robust Graphical Models

no code implementations NeurIPS 2018 Rizal Fathony, Ashkan Rezaei, Mohammad Ali Bashiri, Xinhua Zhang, Brian D. Ziebart

Our approach enjoys both the flexibility of incorporating customized loss metrics into its design as well as the statistical guarantee of Fisher consistency.

Structured Prediction

Adversarial Surrogate Losses for Ordinal Regression

no code implementations NeurIPS 2017 Rizal Fathony, Mohammad Ali Bashiri, Brian Ziebart

Ordinal regression seeks class label predictions when the penalty incurred for mistakes increases according to an ordering over the labels.

Binary Classification General Classification +1

Decomposition-Invariant Conditional Gradient for General Polytopes with Line Search

no code implementations NeurIPS 2017 Mohammad Ali Bashiri, Xinhua Zhang

Frank-Wolfe (FW) algorithms with linear convergence rates have recently achieved great efficiency in many applications.

Cannot find the paper you are looking for? You can Submit a new open access paper.