5.6k citations
- Meta (United States)US62 papers
- Carnegie Mellon UniversityUS43 papers
- Stanford UniversityUS32 papers
- University of California, BerkeleyUS29 papers
- Google (United States)US27 papers
- Cornell UniversityUS24 papers
- Tel Aviv UniversityIL21 papers
- University College LondonGB21 papers
- University of OxfordGB20 papers
- The University of Texas at AustinUS19 papers
- Massachusetts Institute of TechnologyUS17 papers
- McGill UniversityCA17 papers
726 papers
A single algorithm for both restless and rested rotting bandits
Julien Seznec, Pierre Ménard, Alessandro Lazaric +1
In many application domains (e.g., recommender systems, intelligent tutoring systems), the rewards associated to the actions tend to decrease over time. This decay is either caused…
Improved large-scale graph learning through ridge spectral sparsification
Daniele Calandriello, Ioannis Koutis, Alessandro Lazaric +1
Graph-based techniques and spectral graph theory have enriched the field of machine learning with a variety of critical advances. A central object in the analysis is the graph Lapl…
Sample Complexity Bounds for Stochastic Shortest Path with a Generative Model
Jean Tarbouriech, Matteo Pirotta, Michal Valko +1
We study the sample complexity of learning an -optimal policy in the Stochastic Shortest Path (SSP) problem. We first derive sample complexity bounds when the learner has access…
Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI
Jon Middleton, Marko Bauer, Kaining Sheng +5
The identification and localisation of pathological tissues in medical images continues to command much attention among deep learning practitioners. When trained on abundant datase…
Equation Generator for Equation-of-Motion Coupled Cluster Assisted by Computer Algebra System
Raúl Quintero-Monsebaiz, Pierre-François Loos
We present an equation generator algorithm that utilizes second-quantized operators in normal order with respect to a correlated or non-correlated reference and the corresponding W…
Multi-Dimensional Evaluation of Text Summarization with In-Context Learning
Sameer Jain, Vaishakh Keshava, Swarnashree Mysore Sathyendra +4
Evaluation of natural language generation (NLG) is complex and multi-dimensional. Generated text can be evaluated for fluency, coherence, factuality, or any other dimensions of int…