publications

2025

1. Real roots of real cubics and optimization

   Heinz H. Bauschke, Manish Krishan Lal, and Xianfu Wang

   Journal of Convex Analysis, 2025

2023

1. Projections onto hyperbolas or bilinear constraint sets in Hilbert spaces

   Heinz H. Bauschke, Manish Krishan Lal, and Xianfu Wang

   Journal of Global Optimization, 2023

   DOI
2. Directional asymptotics of Fejér monotone sequences

   Heinz H. Bauschke, Manish Krishan Lal, and Xianfu Wang

   Optimization Letters, 2023

   DOI

2022

1. The projection onto the cross

   Heinz H. Bauschke, Manish Krishan Lal, and Xianfu Wang

   Set-Valued and Variational Analysis, 2022

2021

1. A nonmonotone trust region method for unconstrained optimization problems on Riemannian manifolds

   Xiaobo Li, Xianfu Wang, and Manish Krishan Lal

   Journal of Optimization Theory and Applications, 2021

   DOI

2026

1. A projection-based framework for gradient-free and parallel learning †

   A. Bergmeister, Manish Krishan Lal, S. Jegelka, and 1 more author

   In Proceedings of AISTATS, 2026

   AISTATS 2026 Spotlight

   true

2025

1. Cross-fluctuation phase transitions reveal sampling dynamics in diffusion models†

   Sai N. Ramachandran, Manish Krishan Lal, and S. Sra

   In Proceedings of NeurIPS, 2025

2026

1. Learning with boolean threshold functions

   Veit Elser and Manish Krishan Lal

   2026

2025

1. The flow-limit of reflect-reflect-relax

   Manish Krishan Lal

   2025
2. Backpropagation from KL projections

   Manish Krishan Lal

   2025
3. The multi-block DC function class

   P. Fatemi, H. Maskan, M. Krishan Lal, and 2 more authors

   2025