Search Results for author: Omead Pooladzandi

Found 4 papers, 0 papers with code

Adaptive Second Order Coresets for Data-efficient Machine Learning

no code implementations28 Jul 2022 Omead Pooladzandi, David Davini, Baharan Mirzasoleiman

We propose AdaCore, a method that leverages the geometry of the data to extract subsets of the training examples for efficient machine learning.

BIG-bench Machine Learning Second-order methods

De-Biasing Generative Models using Counterfactual Methods

no code implementations4 Jul 2022 Sunay Bhat, Jeffrey Jiang, Omead Pooladzandi, Gregory Pottie

Our proposed method combines a causal latent space VAE model with specific modification to emphasize causal fidelity, enabling finer control over the causal layer and the ability to learn a robust intervention framework.


Diverse Imitation Learning via Self-Organizing Generative Models

no code implementations6 May 2022 Arash Vahabpour, Tianyi Wang, QIUJING LU, Omead Pooladzandi, Vwani Roychowdhury

Imitation learning is the task of replicating expert policy from demonstrations, without access to a reward function.

Imitation Learning

Diverse Imitation Learning via Self-OrganizingGenerative Models

no code implementations29 Sep 2021 Arash Vahabpour, QIUJING LU, Tianyi Wang, Omead Pooladzandi, Vwani Roychowhury

To address this problem, we introduce a novel generative model for behavior cloning, in a mode-separating manner.

Imitation Learning

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