One World Optimization seminar

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 time			Speaker	Title
Mon	Jun 28	13:30	Heinz H. Bauschke	Compositions of Projection Mappings: Fixed Point Sets and Difference Vectors
Mon	Jun 21	13:30	Thomas Pock	Learning with Markov Random Field Models for Computer Vision
Mon	Jun 14	13:30	Darinka Dentcheva	Subregular Recourse in Multistage Stochastic Optimization
Mon	Jun 07	13:30	Constantin Zălinescu	On the Role of Interiority Notions in Convex Analysis and Optimization
Mon	May 31	13:30	Daniel Kuhn	A General Framework for Optimal Data-Driven Optimization
Mon	May 24	13:30	Mikhail Solodov	Regularized Smoothing for Solution Mappings of Convex Problems, with Applications to Two-Stage Stochastic Programming and Some Hierarchical Problems
Mon	May 17	13:30	Marco Antonio López Cerdá	Properties of Inequality Systems and Their Influence in Convex Optimization
Mon	May 10	13:30	Michael Hintermüller	Optimization with Learning-Informed Differential Equation Constraints and Its Applications
Mon	May 03	13:30	Jane J. Ye	On Solving Bilevel Programming Problems
Mon	Apr 26	13:30	Bernd Sturmfels	Wasserstein Distance to Independence Models
Mon	Apr 19	13:30	Asen L. Dontchev	Sensitivity Analysis without Derivatives
Mon	Apr 12	13:30	Michael Ulbrich	An Approximation Scheme for Distributionally Robust Nonlinear Optimization with Applications to PDE-Constrained Problems under Uncertainty
Mon	Apr 05	13:30	Henry Wolkowicz	Robust Interior Point Methods for Quantum Key Rate Computation for Quantum Key Distribution
Mon	Mar 29	13:30	Sylvain Sorin	No-Regret Algorithms in On-Line Learning, Games and Convex Optimization
Mon	Mar 22	14:30	Gabriel Peyré	Scaling Optimal Transport for High Dimensional Learning
Mon	Mar 15	14:30	Frank E. Curtis	SQP Methods for Deterministically Constrained Stochastic Optimization
Mon	Mar 08	14:30	Lieven Vandenberghe	Bregman Proximal Methods for Semidefinite Optimization
Mon	Mar 01	14:30	Antonin Chambolle	Derivatives of Solutions of Saddle-Point Problems
Mon	Feb 22	14:30	Jonathan Eckstein	Progressive Hedging and Asynchronous Projective Hedging for Convex Stochastic Programming
Mon	Feb 15	14:30	Katya Scheinberg	Complexity Analysis Framework of Adaptive Optimization Methods via Martingales
Mon	Feb 08	14:30	Roberto Cominetti	Convergence Rates for Krasnoselskii-Mann Fixed-Point Iterations
Mon	Feb 01	14:30	Boris Mordukhovich	Generalized Newton Algorithms For Nonsmooth Systems With Applications To Lasso
Mon	Jan 25	14:30	Monique Laurent	Sum-of-Squares Approximation Hierarchies for Polynomial Optimization
Mon	Jan 18	14:30	Hedy Attouch	Acceleration of First-Order Optimization Algorithms via Inertial Dynamics with Hessian Driven Damping
Mon	Dec 14	14:30	Ya-xiang Yuan	Orthogonality-free Approaches for Optimization Problems on Stiefel Manifold
Mon	Dec 07	14:30	Guoyin Li	Estimating the Exponents of Kurdyka-Łojasiewicz (KL) Inequality and Error Bounds for Optimization Models
Mon	Nov 30	14:30	Defeng Sun	Several Observations about Using the ALM + Semismooth Newton Method for Solving Large Scale Semidefinite Programming and Beyond
Mon	Nov 23	14:30	Dmitriy Drusvyatskiy	Stochastic Optimization with Decision-dependent Distributions
Mon	Nov 16	14:30	Asu Ozdaglar	Robustness in Machine Learning and Optimization: A Minmax Approach
Mon	Nov 09	14:30	Ingrid Daubechies	Discovering low-dimensional manifolds in high-dimensional data sets
Mon	Nov 02	14:30	Uday V. Shanbhag	Inexact and Distributed Best-Response Schemes for Stochastic Nash Equilibrium Problems
Mon	Oct 26	14:30	Michael P. Friedlander	Polar deconvolution of mixed signals
Mon	Oct 19	13:30	Boris Polyak	Static Linear Feedback for Control as Optimization Problem
Mon	Oct 12	13:30	R. Tyrrell Rockafellar	Augmented Lagrangians and Hidden Convexity in Sufficient Conditions for Local Optimality
Mon	Oct 05	13:30	Aris Daniilidis	Asymptotic Study of the Sweeping Process
Mon	Sep 28	13:30	Stephen Wright	Second-Order Methods for Nonconvex Optimization with Complexity Guarantees
Mon	Sep 21	13:30	Adrian Lewis	Smoothness in Nonsmooth Optimization
Mon	Sep 14	13:30	Jong-Shi Pang	The Era of "Non"-Optimization Problems
Mon	Sep 07	13:30	Amir Beck	Dual Randomized Coordinate Descent Method for Solving a Class of Nonconvex Problems
Mon	Jul 27	13:00	Coralia Carțiș	Tensor Methods for Non-convex Optimization Problems
Mon	Jul 20	13:00	Xiaoming Yuan	From Optimization to Optimal Control: An Algorithmic Design Perspective
Mon	Jul 13	13:00	Panayotis Mertikopoulos	Games, dynamics and optimization
Mon	Jul 06	13:00	Jérôme Bolte	A Variational Model for Automatic Differentiation with Applications to Deep Learning
Mon	Jun 29	13:00	Yurii Nesterov	Superfast Second-Order Methods for Unconstrained Convex Optimization
Mon	Jun 22	13:00	Claudia Sagastizábal	Revisiting Augmented Lagrangian Duals
Mon	Jun 15	13:00	Alexandre d'Aspremont	Naive feature selection: Sparsity in naive Bayes
Mon	Jun 08	13:00	Volkan Cevher	Scalable semidefinite programming
Mon	Jun 01	13:00	Adrien Taylor	Computer-aided worst-case analyses and design of first-order methods for convex optimization
Mon	May 25	13:00	Patrick L. Combettes	Back to single-resolvent Iterations, with warping
Mon	May 18	13:00	Francis Bach	On the convergence of gradient descent for wide two-layer neural networks
Mon	May 11	13:00	Wotao Yin	Scaled relative graph
Mon	May 04	13:00	Russell Luke	Iterated self-mappings in nonlinear spaces: the case of random function iterations and inconsistent stochastic feasibility
Mon	Apr 27	13:00	Peter Richtárik	On Second Order Methods and Randomness
Mon	Apr 20	13:00	Marc Teboulle	Hidden Convexity in Nonconvex Quadratic Optimization

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