7 papers
A Harmonic Mean Formulation of Average Reward Reinforcement Learning in SMDPs
Erel Shtossel, Alicia Vidler, Uri Shaham +1
Recent research has revived and amplified interest in algorithms for undiscounted average reward reinforcement learning in infinite-horizon, non-episodic (continuing) tasks. Semi-M…
PRISM: PRIor from corpus Statistics for topic Modeling
Tal Ishon, Yoav Goldberg, Uri Shaham
Topic modeling seeks to uncover latent semantic structure in text, with LDA providing a foundational probabilistic framework. While recent methods often incorporate external knowle…
Unsupervised Ensemble Learning Through Deep Energy-based Models
Ariel Maymon, Yanir Buznah, Uri Shaham
Unsupervised ensemble learning emerged to address the challenge of combining multiple learners' predictions without access to ground truth labels or additional data. This paradigm…
Learning Shared Representations from Unpaired Data
Amitai Yacobi, Nir Ben-Ari, Ronen Talmon +1
Learning shared representations is a primary area of multimodal representation learning. The current approaches to achieve a shared embedding space rely heavily on paired samples f…
Provable Speech Attributes Conversion via Latent Independence
Jonathan Svirsky, Ofir Lindenbaum, Uri Shaham
While signal conversion and disentangled representation learning have shown promise for manipulating data attributes across domains such as audio, image, and multimodal generation,…
Generalizable Spectral Embedding with an Application to UMAP
Nir Ben-Ari, Amitai Yacobi, Uri Shaham
Spectral Embedding (SE) is a popular method for dimensionality reduction, applicable across diverse domains. Nevertheless, its current implementations face three prominent drawback…