OFUGLB outperforms or is at par with prior algorithms for logistic bandits.

We explore online learning in episodic Markov decision processes on non-stationary environments (changing losses and probability transitions).

Surgical video-language pretraining (VLP) faces unique challenges due to the knowledge domain gap and the scarcity of multi-modal data.

As Large Language Models (LLMs) demonstrate impressive capabilities, demys-tifying their internal mechanisms becomes increasingly vital.

Uncertainty quantification (UQ) is a crucial but challenging task in many high-dimensional learning problems to increase the confidence of a given predictor.