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Yves Achdou: Numerical methods for mean field games - Introduction to the system of PDEs and...
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Control Theory and Optimization
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- 1 Jean-Bernard Lasserre: The moment-LP and moment-SOS approaches
- 2 Stephan Volkwein: POD a-posteriori error estimation for PDE constrained optimization
- 3 Luc Robbiano : A spectral inequality for the bi-Laplace operator
- 4 Olivier Glass : Control of the motion of a set of particles
- 5 Giuseppe Buttazzo : Dirichlet-Neumann shape optimization problems
- 6 Jean-Michel Coron : Linear transformations for the stabilization of nonlinear PDE
- 7 Arnaud Münch : Inverse problems for linear PDEs using mixed formulations
- 8 Frank Morgan: Isoperimetry with density
- 9 Filippo Gazzola: A minimaxmax problem for improving the torsional stability of rectangular plates
- 10 Susanna Terracini : Regularity of the optimal sets for spectral functionals
- 11 Cristina Trombetti: On the stability of the Bossel-Daners inequality
- 12 Ilaria Fragalà: Some new inequalities for the Cheeger constant
- 13 Yves Achdou: Numerical methods for mean field games - Introduction to the system of PDEs and...
- 14 Yves Achdou: Numerical methods for mean field games - Monotone finite difference schemes
- 15 Yves Achdou: Numerical methods for mean field games - Variational MFG and related algorithms for...
- 16 René Aïd: Capacity expansion games with application to competition in power generation investments
- 17 René Carmona: Mean field games with major and minor players
- 18 Jean-David Benamou: Dynamic formulations of Optimal Transportation and variational MFGs
- 19 Plamen Turkedjiev: Least squares regression Monte Carlo for approximating BSDES and semilinear PDES
- 20 Stefano De Marco: Some asymptotic results about American options and volativity
- 21 Mathieu Laurière: Mean field type control with congestion
- 22 Alexander Schrijver: The partially disjoint paths problem
- 23 Tatiana Toro: Parametrizing with Guy
- 24 Jan Obłój: Pathwise or quasi-sure towards dynamic robust framework for pricing and hedging
- 25 Grégoire Loeper: Reconstruction by optimal transport: applications in cosmology and finance
- 26 Philippe Moireau: Data Assimilation: a deterministic vision, theory and applications. Lecture 2
- 27 Philippe Moireau: Data Assimilation: a deterministic vision, theory and applications. Lecture 1
- 28 Marcelo Pereyra: Bayesian inference and mathematical imaging - Lecture 2: Markov chain Monte Carlo
- 29 Marcelo Pereyra: Bayesian inference and mathematical imaging - Lecture 3
- 30 Marcelo Pereyra: Bayesian inference and mathematical imaging - Lecture 4: mixture...
- 31 Marcelo Pereyra: Bayesian inference and mathematical imaging - Lecture 1: Bayesian analysis...
- 32 Pierre Cardaliaguet: (In)efficiency in mean field games
- 33 Filippo Santambrogio: Equilibria and regularity in Mean Field Games with density penalization or...
- 34 Peter E. Caines: Graphon Mean Field Games and the GMFG Equations
- 35 Lenka Zdeborova: Algorithms in high-dimensional non-convex landscapes
- 36 Quentin Berthet: Learning with differentiable perturbed optimizers
- 37 Edouard Pauwels: What does back propagation compute?
- 38 Irène Waldspurger: Rank optimality for the Burer-Monteiro factorization
- 39 Joseph Salmon: The smoothed multivariate square-root Lasso: an optimization lens on concomitant...
- 40 Allesandro Lazaric: Reinforcement learning - lecture 3
- 41 Allesandro Lazaric: Reinforcement learning - lecture 4
- 42 Allesandro Lazaric: Reinforcement learning - lecture 3
- 43 Allesandro Lazaric: Reinforcement learning - lecture 2
- 44 Allesandro Lazaric: Reinforcement learning - lecture 1
- 45 Teasing poster: Mathematics, Signal Processing and Learning
- 46 Laurent Oudre: Machine learning meets signal processing - lecture 2
- 47 Laurent Oudre: Machine learning meets signal processing - lecture 1
- 48 Enrique Zuazua: Model predictive and random batch methods for a guide problem
- 49 Michael Herty: Stabilization of random kinetic equations
- 50 Giuseppe Buttazzo: Upper and lower bounds for some shape functionals
- 51 Pierre Cardaliaguet: Mean Field Games - Lecture 1
- 52 Pierre Cardaliaguet: Mean Field Games - Lecture 2
- 53 Pierre Cardaliaguet: Mean Field Games - Lecture 3
- 54 Dylan Possamaï: Principal Agent Modelling - lecture 1
- 55 Dylan Possamaï: Principal Agent Modelling - lecture 2
- 56 Dylan Possamaï: Principal Agent Modelling - lecture 3
- 57 Claudia Schillings: Bayesian data assimilation and filtering - lecture 2
- 58 Kirsten Morris: Decay of port-Hamiltonian systems with boundary dissipation
- 59 Stefano Stramigioli: Dual field port-Hamiltonian systems
- 60 Paul Kotyczka: Discrete-time port-Hamiltonian systems and control
- 61 Mats Gustafsson: Bandwidth bounds based on Herglotz-Nevanlinna functions and optimization
- 62 Jake Scott: Incorporating ecological epistasis into evolutionary control of cancer
- 63 Kristin Swanson: Every patient deserves their own equation: Sex, drugs and radiomics of brain Cancer
- 64 Enrique Zuazua: Optimal design of sensors and actuators
- 65 Karine Beauchard: Obstructions to small time local controllability
- 66 Jinchao Xu: A Mathematical Introduction to Deep Learning
- 67 Giacomo Dimarco: Numerical methods and uncertainty quantificationfor kinetic equations - lecture 2
- 68 Giacomo Dimarco: Numerical methods and uncertainty quantificationfor kinetic equations - lecture 1
- 69 Lénaïc Chizat: Trajectory inference with Schrödinger bridges - lecture 1
- 70 Lénaïc Chizat: Trajectory inference with Schrödinger bridges - lecture 2
- 71 Lénaïc Chizat: Trajectory inference with Schrödinger bridges - lecture 3
- 72 Filippo Santambrogio: Introduction to optimal transport theory - lecture 2
- 73 Filippo Santambrogio: Introduction to optimal transport theory - lecture 1
- 74 Stefan Volkwein: Introduction to PDE-constrained optimization - lecture 2
- 75 Stefan Volkwein: Introduction to PDE-constrained optimization - lecture 1
- 76 Günter Leugering: Nonoverlapping domain decompositionof nonlinear p-type optimal controlproblems ...
- 77 Xin Guo: Some recent progress in continuous-time reinforcement learning and regret analysis
- 78 Marie-Claire Quenez: European and american optionsin a non-linear incomplete market with default
- 79 Edouard Pauwels: Curiosities and counterexamples in smooth convex optimization
- 80 Kevin Scaman: Non-convex SGD and Lojasiewicz-type conditions for deep learning
- 81 Victor Magron : Exploiting sparsity in polynomial optimization Lecture 2
- 82 Victor Magron : Exploiting sparsity in polynomial optimization Lecture 1
- 83 Benoîte de Saporta : Stochastic control for medical treatment optimization
- 84 Pierre-Louis Lions: Large random matrices and PDE’s
- 85 Ali Aouad : Advancements in the control of dynamic matching markets
- 86 Giuseppe Savaré: Lagrangian, Eulerian and Kantorovich formulations of multi-agent optimal control...
- 87 Franca Hoffmann: Dynamics of strategic agents and algorithms as PDEs
- 88 Nicolas Charon: Path constrained unbalanced optimal transport
- 89 Julie Delon: Wasserstein barycenters for generic transport costs
- 90 Andrei Agrachev: Sub-Riemannian geometry of osculating curves
- 91 Jill-Jênn Vie: Intelligence artificielle
- 92 Emma Hubert: A new approach to principal-agent problems with volatility control
- 93 Xin Guo: Continuous-time mean field games: a primal-dual characterization
- 94 Gökçe Dayanıklı: Cooperation, competition, and common pool resources in mean field games
- 95 Yassine Hamoudi: Optimization problem on quantum computers - Lecture 2
- 96 Yassine Hamoudi: Optimization problem on quantum computers - Lecture 1
