Poster

Thu 9:00

Learning Interface Conditions in Domain Decomposition Solvers
Ali Taghibakhshi · Nicolas Nytko · Tareq Uz Zaman · Scott MacLachlan · Luke Olson · Matthew West

Poster

Thu 9:00

Domain Generalization without Excess Empirical Risk
Ozan Sener · Vladlen Koltun

Poster

Thu 9:00

Accelerated Projected Gradient Algorithms for Sparsity Constrained Optimization Problems
Jan Harold Alcantara · Ching-pei Lee

Poster

Trajectory Inference via Mean-field Langevin in Path Space
Lénaïc Chizat · Stephen Zhang · Matthieu Heitz · Geoffrey Schiebinger

Poster

Thu 14:00

Amortized Proximal Optimization
Juhan Bae · Paul Vicol · Jeff Z. HaoChen · Roger Grosse

Workshop

Fri 8:30

Quartic Polynomial Sub-problem Solutions in Tensor Methods for Nonconvex Optimization
Wenqi Zhu

Workshop

Fri 7:15

Tensor Methods for Nonconvex Optimization.
Coralia Cartis

Poster

A Unified Convergence Theorem for Stochastic Optimization Methods
Xiao Li · Andre Milzarek

Poster

Thu 9:00

Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent
Yiping Lu · Jose Blanchet · Lexing Ying

Workshop

Quartic Polynomial Sub-problem Solutions in Tensor Methods for Nonconvex Optimization
Wenqi Zhu · Coralia Cartis

Workshop

Perseus: A Simple and Optimal High-Order Method for Variational Inequalities
Tianyi Lin · Michael Jordan

Poster

Wed 14:00

Local Linear Convergence of Gradient Methods for Subspace Optimization via Strict Complementarity
Ron Fisher · Dan Garber