Omer Ronen — accepted AI-conference papers

2025

MITIGATING OVER-EXPLORATION IN LATENT SPACE OPTIMIZATION USING LES

Omer Ronen, Ahmed Imtiaz Humayun, Richard Baraniuk, Randall Balestriero, Bin Yu

ICML 2025poster

We develop Latent Exploration Score (LES) to mitigate over-exploration in Latent Space Optimization (LSO), a popular method for solving black-box discrete optimization problems. LSO utilizes continuous optimization within the latent space of a Variational Autoencoder (VAE) and is known to be suscept…

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2022

Hierarchical Shrinkage: Improving the accuracy and interpretability of tree-based models.

Abhineet Agarwal, Yan Shuo Tan, Omer Ronen, Chandan Singh, Bin Yu

ICML 2022oral

Decision trees and random forests (RF) are a cornerstone of modern machine learning practice. Due to their tendency to overfit, trees are typically regularized by a variety of techniques that modify their structure (e.g. pruning). We introduce Hierarchical Shrinkage (HS), a post-hoc algorithm which…

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