Program for stream Challenges in nonlinear programming

WE-06: Higher-order Methods in Mathematical Programming I
Stream: Challenges in nonlinear programming
Room: M:H
Chair(s): Mathias Staudigl

• Spectral Preconditioning for Gradient Methods on Graded Non-convex Functions
  Nikita Doikov
• Barrier Algorithms for Constrained Non-Convex Optimization
  Pavel Dvurechensky, Mathias Staudigl
• Accelerated cubic regularized quasi-newton methods
  Dmitry Kamzolov
• Relaxation Approaches for Nonlinear Sparse Optimization Problems
  Steffensen Sonja

WF-06: Stochastic Gradient Methods: Bridging Theory and Practice
Stream: Challenges in nonlinear programming
Room: M:H
Chair(s): Simon Weissmann

• Stochastic Optimization under Hidden Convexity
  Ilyas Fatkhullin, Niao He, Yifan Hu
• On Almost Sure Convergence Rates for Stochastic Gradient Methods
  Sara Klein
• Optimal sampling for stochastic and natural gradient descent
  Robert Gruhlke, Philipp Trunschke, Anthony Nouy
• Stochastic gradient methods and tame geometry
  Johannes Aspman, Jiri Nemecek, Vyacheslav Kungurtsev, Fabio V. Difonzo, Jakub Marecek

TB-06: Advances in Semi-Definite Programming
Stream: Challenges in nonlinear programming
Room: M:H
Chair(s): Pavel Dvurechensky

• A conditional gradient homotopy method with applications to Semidefinite Programming
  Mathias Staudigl, Pavel Dvurechensky, Shimrit Shtern
• SDP Relaxations for Training ReLU Activation Neural Networks
  Karthik Prakhya, TOLGA BIRDAL, Alp Yurtsever
• Learning quantum Hamiltonians at any temperature in polynomial time with Chebyshev and bit complexity
  Ales Wodecki, Jakub Marecek

FB-06: Higher-order Methods in Mathematical Programming II
Stream: Challenges in nonlinear programming
Room: M:H
Chair(s): Marianna E.-Nagy

• Analysis of the primal-dual central path for nonlinear semidefinite optimization without the nondegeneracy condition
  Takayuki Okuno
• Developing Extended Memoryless Optimization Algorithms Based on the Ellipsoid Norms
  Saman Babaie-Kafaki
• On a Unified Analysis of Kernel-based Interior Point Algorithms
  Marianna E.-Nagy, Zsolt Darvay, Goran Lesaja, Petra Renáta Rigó, Anita Varga