Papers and technical reports
More than two hundred PDFs and a substantially larger collection of associated data, code, figures, and bibliographic records.
Historical archive
The original UMass site spans several generations of web design and several decades of research. Its scholarly content is valuable; its old navigation should not determine the shape of the future portal.
More than two hundred PDFs and a substantially larger collection of associated data, code, figures, and bibliographic records.
Material from reinforcement learning, optimization, deep learning, category theory, and tutorials presented at AAAI, IJCAI, and ICML.
Research pages, demonstrations, supplementary experiment sites, and links to public repositories.
Students, awards, invited talks, grants, professional activities, and earlier generations of the faculty homepage.
Preservation strategy
The new portal will progressively promote durable material into modern, accessible pages. Until then, the live UMass site remains the public historical reference, while a complete dated backup is maintained privately.
Open the legacy site ↗