NeurIPS 2025 Workshop on Constrained Optimization for Machine Learning

December 7th, 2025

The workshop will take place on December 7, 2025, in Upper Level Ballroom 6D–6E at the San Diego Convention Center, as part of the NeurIPS 2025 conference.

The full schedule is also available on the NeurIPS website.


Morning Session

Time (PST) Speaker Event
8:30 - 8:40 Organizers Opening Remarks
8:40 - 9:20 Frank E. Curtis (Lehigh) Keynote: Stochastic Algorithms for Nonlinearly Constrained Optimization
9:20 - 10:50 Coffee Break & Poster Session 1 (Posters listed here)
10:50 - 11:30 Luiz Chamon (École Polytechnique) Keynote: The 5 W’s and H of constrained learning
11:30 - 11:45 Ilyas Fatkhullin Contributed talk: Global Solutions to Non-Convex Functional Constrained Problems via Hidden Convexity
11:45 - 12:00 Botong Zhang Contributed talk: Alignment of Large Language Models with Constrained Learning
12:00 - 13:30   Lunch Break


Afternoon Session

Time (PST) Speaker Event
13:30 - 14:10 Ferdinando Fioretto (U. of Virginia) Keynote: Constraint-Aware Generative Models
14:10 - 14:25 Lara Zebiane Contributed talk: Active-Set Identification by Stochastic and Noisy Optimization Algorithms for Constrained Learning
14:25 - 14:40 Youngjae Min Contributed talk: HardNet: Hard-Constrained Neural Networks with Universal Approximation Guarantees
14:40 - 14:55 Antonio Pariente Granero Contributed talk: Infinity Embeddings: Representation learning with ultrametric structure for faster search via Constrained Learning
14:55 - 15:20 Coffee Break
15:20 - 16:00 Emily Ruth Diana (CMU) Keynote: Minimax Fairness in Strategic Classification
16:00 - 16:10 Organizers Closing Remarks
16:10 - 17:40 Poster Session 2 (Posters listed here)


Questions?

Contact us at constrainedml@gmail.com.