EUROPT 2025
Abstract Submission

Schedule


Monday - Tuesday - Wednesday -

Monday

Track 8:50 - 10:00 10:30 - 12:30 14:00 - 16:00 16:30 - 18:30
1
B100/1001 (0)		 MA-1: Plenary 1 MB-1: Advances in Large-Scale Derivative-Free Optimization MC-1: Strategies to Improve Zeroth-Order Optimization Methods MD-1: Derivative-Free Optimization Methods for challenging applications: Handling Nonsmoothness and Constraints
2
B100/7011 (0)		 MA-2: MB-2: Optimization and applications MC-2: Matrix factorization MD-2: Optimization in machine Learning
3
B100/4011 (0)		 MA-3: MB-3: First-order methods in modern optimization (Part I) MC-3: First-order methods in modern optimization (Part II) MD-3: Variational Methods in Set and Vector Optimization
4
B100/5013 (0)		 MA-4: MB-4: MC-4: MD-4:
5
B100/4013 (0)		 MA-5: MB-5: Optimization and machine learning I MC-5: Optimization and machine learning II MD-5: Relaxed Smoothness and Convexity Assumptions in Optimization for Machine Learning
6
B100/7013 (0)		 MA-6: MB-6: Nonsmooth optimization: from continuous to discrete Part I MC-6: Nonsmooth optimization: from continuous to discrete Part II MD-6: Smoothing techniques for nonsmooth optimization
7
B100/5015 (0)		 MA-7: MB-7: Hyperparameter Optimization for Classification MC-7: Bilevel Optimization in Data Science MD-7: Methods for simple and nonsmooth bilevel optimization
8
B100/7007 (0)		 MA-8: MB-8: Systematic and computer-aided analyses I: Analyses of proximal splittings methods & friends MC-8: Systematic and computer-aided analyses II: Systematic algorithmic design approaches MD-8: Systematic and computer-aided analyses III: noisy gradient methods and fixed-point algorithms
9
B100/8013 (0)		 MA-9: MB-9: Generalized convexity and monotonicity 1 MC-9: Generalized convexity and monotonicity 2 MD-9: Generalized convexity and monotonicity 3
10
B100/8011 (0)		 MA-10: MB-10: Optimization, Learning, and Games I MC-10: Optimization, Learning, and Games II MD-10: Interactions between optimization and machine learning
11
B100/5017 (0)		 MA-11: MB-11: Optimal and stochastic optimal control 1 MC-11: Advances in conic optimization MD-11: Applications of conic optimization
12
B100/8009 (0)		 MA-12: MB-12: Portfolio optimization MC-12: Robust optimisation and its applications MD-12: Applications of optimisation under uncertainty
13
B100/6009 (0)		 MA-13: MB-13: True sparsity in Standard Quadratic Problems MC-13: Cardinality control in optimization problems for Data Science MD-13: Recent advances in optimization problems with cardinality constraints

Tuesday

Track 9:00 - 10:00 10:30 - 12:30 14:00 - 16:00 16:20 - 17:30
1
B100/1001 (0)		 TA-1: Plenary 2 TB-1: Zeroth-Order Optimization Methods for Stochastic and Noisy Problems TC-1: First-Order Methods for Structured Optimization and Sampling TD-1: Plenary 3 (EUROPT Lecture)
2
B100/7011 (0)		 TA-2: TB-2: Infinite-dimensional optimization - Part I TC-2: Infinite-dimensional optimization - Part II TD-2:
3
B100/4011 (0)		 TA-3: TB-3: Theoretical and algorithmic advances in large scale nonlinear optimization and applications Part 1 TC-3: Theoretical and algorithmic advances in large scale nonlinear optimization and applications Part 2 TD-3:
4
B100/5013 (0)		 TA-4: TB-4: Stochastic and Deterministic Global Optimization TC-4: Global Optimization advances TD-4:
5
B100/4013 (0)		 TA-5: TB-5: Randomized Optimization algorithms I TC-5: Randomized Optimization algorithms II TD-5:
6
B100/7013 (0)		 TA-6: TB-6: Advances in nonsmooth optimization TC-6: Structured nonsmooth optimization -- Part I TD-6:
7
B100/5015 (0)		 TA-7: TB-7: Nonsmooth Bilevel Optimization TC-7: Mixed-Integer Bilevel Optimization TD-7:
8
B100/7007 (0)		 TA-8: TB-8: Systematic and computer-aided analyses IV: Online & distributed gradient methods TC-8: Systematic and computer-aided analyses V: Tools for systematic studies of first-order algorithms TD-8:
9
B100/8013 (0)		 TA-9: TB-9: Variational Analysis I TC-9: Variational Analysis II TD-9:
10
B100/8011 (0)		 TA-10: TB-10: First order methods: new perspectives for machine learning TC-10: Continuous Multi-Objective Optimization: Algorithms and Complexity Analyses TD-10:
11
B100/5017 (0)		 TA-11: TB-11: Advances in Manifold Optimization TC-11: Advances in Manifold and Conic Optimization TD-11:
12
B100/8009 (0)		 TA-12: TB-12: Optimisation under uncertainty in the power sector TC-12: Optimization for sustainable energy systems TD-12:
13
B100/6009 (0)		 TA-13: TB-13: Numerical Methods and Applications I TC-13: TD-13:

Wednesday

Track 9:00 - 10:00 10:30 - 12:30 14:00 - 16:00 16:05 - 16:15
1
B100/1001 (0)		 WA-1: Plenary 4 WB-1: Advances in stochastic and non-euclidean first order methods WC-1: Advances in Multiobjective and Bilevel Optimization without Derivatives WD-1: Closing
2
B100/7011 (0)		 WA-2: WB-2: High-order and tensor methods WC-2: Systematic and computer-aided analyses VI: Systematic approaches to the analyses of proximal and higher-order methods WD-2:
3
B100/4011 (0)		 WA-3: WB-3: Recent Advances in Line-Search Based Optimization WC-3: Acceleration Methods in Optimization WD-3:
4
B100/5013 (0)		 WA-4: WB-4: Optimization and learning for estimation problems WC-4: Large Scale Optimization for Statistical Learning WD-4:
5
B100/4013 (0)		 WA-5: WB-5: Recent advances in min-max optimization WC-5: Recent Advances in Stochastic Optimization WD-5:
6
B100/7013 (0)		 WA-6: WB-6: Structured nonsmooth optimization -- Part II WC-6: Structured nonsmooth optimization -- Part III WD-6:
7
B100/5015 (0)		 WA-7: WB-7: Theory and methods for bilevel optimization WC-7: Numerical Methods and Applications II WD-7:
8
B100/7007 (0)		 WA-8: WB-8: Theoretical advances in nonconvex optimization WC-8: Advances in non-convex optimization WD-8:
9
B100/8013 (0)		 WA-9: WB-9: Variational Analysis III WC-9: Generalized convexity and monotonicity 4 WD-9:
10
B100/8011 (0)		 WA-10: WB-10: Global Multi-Objective Optimization WC-10: Computational Aspects in Multiobjective Optimization WD-10:
11
B100/5017 (0)		 WA-11: WB-11: Interior point methods and applications - Part I WC-11: Interior point methods and applications - Part II WD-11:
12
B100/8009 (0)		 WA-12: WB-12: Chemical and Energy Systems Optimization WC-12: Optimisation under uncertainty for sustainability WD-12:
13
B100/6009 (0)		 WA-13: WB-13: WC-13: WD-13: