ICCOPT2025USC

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8:30am PDT

Auditorium Opens Doors for seating

9:00am PDT

Plenary 2

10:00am PDT

Coffee & Snack Break (Provided)

10:30am PDT

Parallel Sessions 4A: Progress in Nonsmooth Optimization

10:30am PDT

Parallel Sessions 4B: Optimization for Neural Network Pruning and Quantization

10:30am PDT

Parallel Sessions 4C: Methods for Large-Scale Nonlinear Optimization IV

10:30am PDT

Parallel Sessions 4D: Recent Advances in Large-scale Optimization II

10:30am PDT

Parallel Sessions 4E: Random subspace algorithms in optimization

10:30am PDT

Parallel Sessions 4F: Contextual Stochastic Optimization under Streaming Data and Decision Dependency

10:30am PDT

Parallel Sessions 4G: Analysis and Design of First Order Methods for Convex Optimization

10:30am PDT

Parallel Sessions 4H: Advances in Network Optimization and Cooperative Learning

10:30am PDT

Parallel Sessions 4I: Optimization for Large Language Models and Kernels

10:30am PDT

Parallel Sessions 4J: Dynamic Optimization: Deterministic and Stochastic Continuous-time Models I

10:30am PDT

Parallel Sessions 4K: Convex approaches to SDP

10:30am PDT

Parallel Sessions 4L: First-order methods for nonsmooth optimization

10:30am PDT

Parallel Sessions 4M: Bilevel Optimization for Inverse Problems Part 2

10:30am PDT

Parallel Sessions 4N: Derivative-free stochastic optimization methods I

10:30am PDT

Parallel Sessions 4O: Feasible and infeasible methods for optimization on manifolds I

10:30am PDT

Parallel Sessions 4P: Recent Advances in Conic Optimization and Machine Learning

10:30am PDT

Parallel Sessions 4Q: Moment-SOS Hierarchy: From Theory to Computation in the Real World (I)

10:30am PDT

Parallel Sessions 4R: Variational Analysis: Theory and Applications II

10:30am PDT

Parallel Sessions 4S: Recent Advances on PDE-constrained optimization packages and libraries : Part I

10:30am PDT

Parallel Sessions 4T: Parametric Optimization Problems

10:30am PDT

Parallel Sessions 4U: Computational Frameworks and Applications: Hybridizing Continuous and Discrete Optimization in Practice

10:30am PDT

Parallel Sessions 4V: Recent advances in open-source continuous solvers

10:30am PDT

Parallel Sessions 4W: Nonsmooth Optimization - Theory and Algorithms

10:30am PDT

Parallel Sessions 4X: Algorithms for Nonconvex Problems

10:30am PDT

Parallel Sessions 4Y

11:45am PDT

Lunch 2 (provided)

1:15pm PDT

Parallel Sessions 5A: Methods for Large-Scale Nonlinear Optimization V

1:15pm PDT

Parallel Sessions 5B: Continuous and Discrete Optimization

1:15pm PDT

Parallel Sessions 5C: AI Meets Optimization (Part 2)

1:15pm PDT

Parallel Sessions 5D: Recent advances in algorithms for large-scale optimization (I)

1:15pm PDT

Parallel Sessions 5E: Advances in Mixed-Integer Optimization

1:15pm PDT

Parallel Sessions 5F: Adaptive Methods

1:15pm PDT

Parallel Sessions 5G: Recent Advances in Large-scale Optimization III

1:15pm PDT

Parallel Sessions 5H: Preference Robust Optimization

1:15pm PDT

Parallel Sessions 5I: Dynamic Optimization: Deterministic and Stochastic Continuous-time Models II

1:15pm PDT

Parallel Sessions 5J: Models and Algorithms for Optimization with Rare Events

1:15pm PDT

Parallel Sessions 5K: First-order methods for nonsmooth and constrained optimization problems

1:15pm PDT

Parallel Sessions 5L: Optimization for Machine Learning and AI

1:15pm PDT

Parallel Sessions 5M: Recent progresses in derivative-free optimization II

1:15pm PDT

Parallel Sessions 5N: Optimization on Riemannian manifolds and stratified sets (1/2)

1:15pm PDT

Parallel Sessions 5O: Global Optimization Theory and Algorithms

1:15pm PDT

Parallel Sessions 5P: Feasible and infeasible methods for optimization on manifolds II

1:15pm PDT

Parallel Sessions 5Q: Moment-SOS Hierarchy: From Theory to Computation in the Real World (II)

1:15pm PDT

Parallel Sessions 5R: Variational Analysis: Theory and Applications III

1:15pm PDT

Parallel Sessions 5S: Semidefinite Relaxations in Inference Problems

1:15pm PDT

Parallel Sessions 5T: Optimization for Approximation, Estimation, and Control

1:15pm PDT

Parallel Sessions 5U: Quantum Computing and Optimization

1:15pm PDT

Parallel Sessions 5V: Newton-ish and Higher-Order Methods

1:15pm PDT

Parallel Sessions 5W: Systems of Quadratic Equations/Inequalities

1:15pm PDT

Parallel Sessions 5X: Modeling, Solvers, and Quantum

1:15pm PDT

Parallel Sessions 5Y

2:30pm PDT

Coffee & Snack Break (Provided)

3:00pm PDT

Parallel Semi-Plenary Talk 2A

3:00pm PDT

Parallel Semi-Plenary Talk 2B

4:00pm PDT

Break

4:15pm PDT

Parallel Sessions 6A: Adaptive Stochastic Gradient Methods

4:15pm PDT

Parallel Sessions 6B: Machine Learning Algorithms

4:15pm PDT

Parallel Sessions 6C: AI Meets Optimization (Part 1)

4:15pm PDT

Parallel Sessions 6D: Special Session in Honor of Suvrajeet Sen: Nonsmooth Methods in Stochastic Programming

4:15pm PDT

Parallel Sessions 6E: Recent advances in algorithms for large-scale optimization (II)

4:15pm PDT

Parallel Sessions 6F: Optimization for improving privacy and alignment for LLMs

4:15pm PDT

Parallel Sessions 6G: Advances in Data-driven Optimization

4:15pm PDT

Parallel Sessions 6H: Semidefinite programming and applications

4:15pm PDT

Parallel Sessions 6I: Advances in Conic Optimization

4:15pm PDT

Parallel Sessions 6J: Continuous and discreate optimization solving real problems

4:15pm PDT

Parallel Sessions 6K: Applications To Signal Processing

4:15pm PDT

Parallel Sessions 6L: Alternative and Hybrid Algorithms in Quantum Computing for Optimization and Applications

4:15pm PDT

Parallel Sessions 6M: Data-Driven Decision and Control

4:15pm PDT

Parallel Sessions 6N: The Role of Constraints in the Computational Complexity and Solvability of Optimization Problems

4:15pm PDT

Parallel Sessions 6O: First-order methods for nonsmooth and constrained optimization - II

4:15pm PDT

Parallel Sessions 6P: Recent Advances in PDE-Constrained Optimizatin

4:15pm PDT

Parallel Sessions 6Q: Optimization on Riemannian manifolds and stratified sets (2/2)

4:15pm PDT

Parallel Sessions 6R: Recent Adavances in Interval Arithmetic based Methods

4:15pm PDT

Parallel Sessions 6S: Multi-agent learning in games and markets

4:15pm PDT

Parallel Sessions 6T: Randomized optimization algorithms 1/2

4:15pm PDT

Parallel Sessions 6U: Applications of derivative-free optimization

4:15pm PDT

Parallel Sessions 6V: Trust-Region Methods

4:15pm PDT

Parallel Sessions 6W: Stochastic Optimization

4:15pm PDT

Parallel Sessions 6X

4:15pm PDT

Parallel Sessions 6Y

5:30pm PDT

Break or End of day

5:45pm PDT

Poster Session