Bruno F. Lourenço

Associate Professor

The Institute of Statistical Mathematics/SOKENDAI
Department of Fundamental Statistical Mathematics/Department of Statistical Science
Statistical Decision-Making Group
Email: bruno “at” ism.ac.jp

Research Interests

• Conic linear programming: algorithms, regularization techniques and ill-posedness.
• Nonlinear conic programming: algorithms and optimality conditions.
• Geometry of convex sets and error bounds
• Nonsmooth optimization

Upcoming events

• RAMP 2026, Kanazawa, Japan, November 19-20, 2026.
• Optimization over Matrices: From Data Science to Quantum Computing, Singapore, December 7-18, 2026.
• ISMP 2026, Amsterdam, July 25-30, 2027.

Past Events, Past Visitors

News

• 2026/08/11 New preprint “Radial-type error bounds for semidefinite feasibility problems without strict feasibility: qualitative estimates and asymptotic tightness”
• 2026/07/19 The paper “BoxLitE: A faithful knowledge base embedding based on convex optimization” won a best poster award at DL 2026.
• 2026/05/21 The conference paper “BoxLitE: A faithful knowledge base embedding based on convex optimization” was accepted at KR 2026.
• 2026/05/04 The paper “Projection onto hyperbolicity cones and beyond: a dual Frank-Wolfe approach” was accepted at Mathematical Programming.
• 2026/04/21 The paper “Facial structure of copositive and completely positive cones over a second-order cone” was accepted at Linear Algebra and its Applications.
• 2026/02/02 The paper “Concrete convergence rates for common fixed point problems under Karamata regularity” was accepted at Mathematical Programming.
• 2025/12/18 New preprint “Facial reduction for nice (and non-nice) convex programs”
• 2025/10/01 New preprint “Error bounds for perspective cones of a class of nonnegative Legendre functions”
• 2025/04/25 New preprint “On the equivalence of a Hessian-free inequality and Lipschitz continuous Hessian”
• 2025/03/16 The paper “Minimal hyperbolic polynomials and ranks of homogeneous cones” was accepted at the Journal of Convex Analysis.