One World Optimization seminar

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optimization and control

Audience: Researchers in the topic
Seminar series time: Monday 13:30-14:30 in your time zone, UTC
Organizers: Sorin-Mihai Grad*, Radu Ioan Boț, Shoham Sabach, Mathias Staudigl
*contact for this listing

Description: Online seminar on optimization and related areas

The address and password of the zoom room of the seminar are sent by e-mail on the mailinglist of the seminar one day before each talk

Upcoming talks
Past talks
Your timeSpeakerTitle
MonJun 2813:30Heinz H. BauschkeCompositions of Projection Mappings: Fixed Point Sets and Difference Vectors
MonJun 2113:30Thomas PockLearning with Markov Random Field Models for Computer Vision
MonJun 1413:30Darinka DentchevaSubregular Recourse in Multistage Stochastic Optimization
MonJun 0713:30Constantin ZălinescuOn the Role of Interiority Notions in Convex Analysis and Optimization
MonMay 3113:30Daniel KuhnA General Framework for Optimal Data-Driven Optimization
MonMay 2413:30Mikhail SolodovRegularized Smoothing for Solution Mappings of Convex Problems, with Applications to Two-Stage Stochastic Programming and Some Hierarchical Problems
MonMay 1713:30Marco Antonio López CerdáProperties of Inequality Systems and Their Influence in Convex Optimization
MonMay 1013:30Michael HintermüllerOptimization with Learning-Informed Differential Equation Constraints and Its Applications
MonMay 0313:30Jane J. YeOn Solving Bilevel Programming Problems
MonApr 2613:30Bernd SturmfelsWasserstein Distance to Independence Models
MonApr 1913:30Asen L. DontchevSensitivity Analysis without Derivatives
MonApr 1213:30Michael UlbrichAn Approximation Scheme for Distributionally Robust Nonlinear Optimization with Applications to PDE-Constrained Problems under Uncertainty
MonApr 0513:30Henry WolkowiczRobust Interior Point Methods for Quantum Key Rate Computation for Quantum Key Distribution
MonMar 2913:30Sylvain SorinNo-Regret Algorithms in On-Line Learning, Games and Convex Optimization
MonMar 2214:30Gabriel PeyréScaling Optimal Transport for High Dimensional Learning
MonMar 1514:30Frank E. CurtisSQP Methods for Deterministically Constrained Stochastic Optimization
MonMar 0814:30Lieven VandenbergheBregman Proximal Methods for Semidefinite Optimization
MonMar 0114:30Antonin ChambolleDerivatives of Solutions of Saddle-Point Problems
MonFeb 2214:30Jonathan EcksteinProgressive Hedging and Asynchronous Projective Hedging for Convex Stochastic Programming
MonFeb 1514:30Katya ScheinbergComplexity Analysis Framework of Adaptive Optimization Methods via Martingales
MonFeb 0814:30Roberto CominettiConvergence Rates for Krasnoselskii-Mann Fixed-Point Iterations
MonFeb 0114:30Boris MordukhovichGeneralized Newton Algorithms For Nonsmooth Systems With Applications To Lasso
MonJan 2514:30Monique LaurentSum-of-Squares Approximation Hierarchies for Polynomial Optimization
MonJan 1814:30Hedy AttouchAcceleration of First-Order Optimization Algorithms via Inertial Dynamics with Hessian Driven Damping
MonDec 1414:30Ya-xiang YuanOrthogonality-free Approaches for Optimization Problems on Stiefel Manifold
MonDec 0714:30Guoyin LiEstimating the Exponents of Kurdyka-Łojasiewicz (KL) Inequality and Error Bounds for Optimization Models
MonNov 3014:30Defeng SunSeveral Observations about Using the ALM + Semismooth Newton Method for Solving Large Scale Semidefinite Programming and Beyond
MonNov 2314:30Dmitriy DrusvyatskiyStochastic Optimization with Decision-dependent Distributions
MonNov 1614:30Asu OzdaglarRobustness in Machine Learning and Optimization: A Minmax Approach
MonNov 0914:30Ingrid DaubechiesDiscovering low-dimensional manifolds in high-dimensional data sets
MonNov 0214:30Uday V. ShanbhagInexact and Distributed Best-Response Schemes for Stochastic Nash Equilibrium Problems
MonOct 2614:30Michael P. FriedlanderPolar deconvolution of mixed signals
MonOct 1913:30Boris PolyakStatic Linear Feedback for Control as Optimization Problem
MonOct 1213:30R. Tyrrell RockafellarAugmented Lagrangians and Hidden Convexity in Sufficient Conditions for Local Optimality
MonOct 0513:30Aris DaniilidisAsymptotic Study of the Sweeping Process
MonSep 2813:30Stephen WrightSecond-Order Methods for Nonconvex Optimization with Complexity Guarantees
MonSep 2113:30Adrian LewisSmoothness in Nonsmooth Optimization
MonSep 1413:30Jong-Shi PangThe Era of "Non"-Optimization Problems
MonSep 0713:30Amir BeckDual Randomized Coordinate Descent Method for Solving a Class of Nonconvex Problems
MonJul 2713:00Coralia CarțișTensor Methods for Non-convex Optimization Problems
MonJul 2013:00Xiaoming YuanFrom Optimization to Optimal Control: An Algorithmic Design Perspective
MonJul 1313:00Panayotis MertikopoulosGames, dynamics and optimization
MonJul 0613:00Jérôme BolteA Variational Model for Automatic Differentiation with Applications to Deep Learning
MonJun 2913:00Yurii NesterovSuperfast Second-Order Methods for Unconstrained Convex Optimization
MonJun 2213:00Claudia SagastizábalRevisiting Augmented Lagrangian Duals
MonJun 1513:00Alexandre d'AspremontNaive feature selection: Sparsity in naive Bayes
MonJun 0813:00Volkan CevherScalable semidefinite programming
MonJun 0113:00Adrien TaylorComputer-aided worst-case analyses and design of first-order methods for convex optimization
MonMay 2513:00Patrick L. CombettesBack to single-resolvent Iterations, with warping
MonMay 1813:00Francis BachOn the convergence of gradient descent for wide two-layer neural networks
MonMay 1113:00Wotao YinScaled relative graph
MonMay 0413:00Russell LukeIterated self-mappings in nonlinear spaces: the case of random function iterations and inconsistent stochastic feasibility
MonApr 2713:00Peter RichtárikOn Second Order Methods and Randomness
MonApr 2013:00Marc TeboulleHidden Convexity in Nonconvex Quadratic Optimization
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