| 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 | |
