Mert Pilanci

6

Papers

9

Total Citations

Papers (6)

Scaling Convex Neural Networks with Burer-Monteiro Factorization

Newton Meets Marchenko-Pastur: Massively Parallel Second-Order Optimization with Hessian Sketching and Debiasing

Geometric Algebra Planes: Convex Implicit Neural Volumes

Active Learning of Deep Neural Networks via Gradient-Free Cutting Planes

Convex Relaxations of ReLU Neural Networks Approximate Global Optima in Polynomial Time

Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models