Groupe de lecture LIPN: Apprentissage et Optimisation
Jour, horaire, lieu
lundi de 14h à 15h en A303
Lien visio
https://bbb.lipn.univ-paris13.fr/b/ler-mou-dke-f0x
Lien calendrier (format ics)
calendrier
Date
Article/Thème
Lecture animée par
Notes
22/04/24
ML/OPT: The Voice of Optimization
Roberto Wolfler-Calvo
25/03/24
A Multi-objective / Multi-task Learning Framework Induced by Pareto Stationarity
Yue Zhang
05/02/24 + 04/03/24
Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Method
Alexandre Schulz
22/01/24
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
Joseph Le Roux
présentation
08/01/24
Learning to learn by gradient descent by gradient descent
Francesco Demelas
présentation
13/11/23
Multi-Task Learning as Multi-Objective Optimization
Yue Zhang
09/10/23
Generic Methods for Optimization-Based Modeling
Alexandre Schulz
18/09/23
Fast as CHITA: Neural Network Pruning with Combinatorial Optimization
Yue Zhang
présentation
11/09/23
End-to-End Learning to Warm-Start for Real-Time Quadratic Optimization
Francesco Demelas
présentation
25/05/23
NLP/ML/CO: a case study
Nadi Tomeh
17/05/23
Fast Continuous and Integer L-shaped Heuristics Through Supervised Learning
Francesco Demelas
présentation
11/05/23
Constrained Discrete Black-Box Optimization using Mixed-Integer Programming
Alexandre Schulz
présentation
19/04/23 12:00-13:00
Reinforcement learning with combinatorial actions: An application to vehicle routing
Emiliano Traversi
en B107
13/04/23
Machine Learning–Supported Prediction of Dual Variables for the Cutting Stock Problem with an Application in Stabilized Column Generation
Francesco Demelas
29/03/23
Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model
Mathieu Lacroix
présentation
16/03/23
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization
Yue Zhang
09/03/23
Deep ADMM-Net for Compressive Sensing MRI
Joseph Le Roux
09/02/23
A Deep Reinforcement Learning Framework For Column Generation
Emiliano Traversi
18/01/23
COIL: A Deep Architecture for Column Generation
Mathieu Lacroix
présentation
11/01/23
UNIFY: a Unified Policy Designing Framework for Solving Constrained Optimization Problems with Machine Learning
Francesco Demelas
présentation
04/01/23
Strong mixed-integer programming formulations for trained neural networks
Yue Zhang
07/12/22
Machine-learning-based arc selection for constrained shortest path problems in column generation
Roberto Wolfler-Calvo
09/11/22
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions
Joseph Le Roux
présentation
03/10/22
Solving Mixed Integer Programs Using Neural Networks
Xin He
26/09/22
MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers
Alexandre Schulz
présentation
19/09/22
Learning with Combinatorial Optimization Layers: a Probabilistic Approach
Francesco Demelas
présentation