Simon Lacoste-Julien
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
47
Venues
8
Active years
2005–2025
Best venue rank
A*
Where they publish
Papers
47 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AISTATS | Performative Prediction on Games and Mechanism Design. | Antnio Gis, Mehrnaz Mofakhami, Fernando P. Santos, Gauthier Gidel, Simon Lacoste-Julien |
| 2025 | AISTATS | Feasible Learning. | Juan Ramirez, Ignacio Hounie, Juan Elenter, Jose Gallego-Posada, Meraj Hashemizadeh, Alejandro Ribeiro, Simon Lacoste-Julien |
| 2025 | ICLR | Accelerating Training with Neuron Interaction and Nowcasting Networks. | Boris Knyazev, Abhinav Moudgil, Guillaume Lajoie, Eugene Belilovsky, Simon Lacoste-Julien |
| 2024 | AISTATS | Weight-Sharing Regularization. | Mehran Shakerinava, Motahareh Sohrabi, Siamak Ravanbakhsh, Simon Lacoste-Julien |
| 2024 | ICLR | Balancing Act: Constraining Disparate Impact in Sparse Models. | Meraj Hashemizadeh, Juan Ramirez, Rohan Sukumaran, Golnoosh Farnadi, Simon Lacoste-Julien, Jose Gallego-Posada |
| 2024 | ICML | On PI Controllers for Updating Lagrange Multipliers in Constrained Optimization. | Motahareh Sohrabi, Juan Ramirez, Tianyue H. Zhang, Simon Lacoste-Julien, Jose Gallego-Posada |
| 2023 | ICML | CrossSplit: Mitigating Label Noise Memorization through Data Splitting. | Jihye Kim, Aristide Baratin, Yan Zhang, Simon Lacoste-Julien |
| 2023 | ICML | Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models? | Boris Knyazev, Doha Hwang, Simon Lacoste-Julien |
| 2023 | ICML | Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning. | Sbastien Lachapelle, Tristan Deleu, Divyat Mahajan, Ioannis Mitliagkas, Yoshua Bengio, Simon Lacoste-Julien, Quentin Bertrand |
| 2023 | ICML | Unlocking Slot Attention by Changing Optimal Transport Costs. | Yan Zhang, David W. Zhang, Simon Lacoste-Julien, Gertjan J. Burghouts, Cees G. M. Snoek |
| 2022 | AISTATS | On the Convergence of Continuous Constrained Optimization for Structure Learning. | Ignavier Ng, Sbastien Lachapelle, Nan Rosemary Ke, Simon Lacoste-Julien, Kun Zhang |
| 2022 | ICLR | Online Adversarial Attacks. | Andjela Mladenovic, Avishek Joey Bose, Hugo Berard, William L. Hamilton, Simon Lacoste-Julien, Pascal Vincent, Gauthier Gidel |
| 2022 | ICLR | Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation. | Yan Zhang, David W. Zhang, Simon Lacoste-Julien, Gertjan J. Burghouts, Cees G. M. Snoek |
| 2022 | UAI | Bayesian structure learning with generative flow networks. | Tristan Deleu, Antnio Gis, Chris Emezue, Mansi Rankawat, Simon Lacoste-Julien, Stefan Bauer, Yoshua Bengio |
| 2021 | AISTATS | Implicit Regularization via Neural Feature Alignment. | Aristide Baratin, Thomas George, Csar Laurent, R. Devon Hjelm, Guillaume Lajoie, Pascal Vincent, Simon Lacoste-Julien |
| 2021 | AISTATS | Stochastic Polyak Step-size for SGD: An Adaptive Learning Rate for Fast Convergence. | Nicolas Loizou, Sharan Vaswani, Issam Hadj Laradji, Simon Lacoste-Julien |
| 2021 | AISTATS | An Analysis of the Adaptation Speed of Causal Models. | Rmi Le Priol, Reza Babanezhad, Yoshua Bengio, Simon Lacoste-Julien |
| 2021 | ICLR | Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning. | Namyeong Kwon, Hwidong Na, Gabriel Huang, Simon Lacoste-Julien |
| 2021 | ICML | Affine Invariant Analysis of Frank-Wolfe on Strongly Convex Sets. | Thomas Kerdreux, Lewis Liu, Simon Lacoste-Julien, Damien Scieur |
| 2021 | ICML | Structured Convolutional Kernel Networks for Airline Crew Scheduling. | Yassine Yaakoubi, Franois Soumis, Simon Lacoste-Julien |
| 2020 | AISTATS | A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Differentiable Games. | Wass Azizian, Ioannis Mitliagkas, Simon Lacoste-Julien, Gauthier Gidel |
| 2020 | AISTATS | Accelerating Smooth Games by Manipulating Spectral Shapes. | Wass Azizian, Damien Scieur, Ioannis Mitliagkas, Simon Lacoste-Julien, Gauthier Gidel |
| 2020 | AISTATS | GAIT: A Geometric Approach to Information Theory. | Jose Gallego-Posada, Ankit Vani, Max Schwarzer, Simon Lacoste-Julien |
| 2020 | AISTATS | Fast and Furious Convergence: Stochastic Second Order Methods under Interpolation. | Si Yi Meng, Sharan Vaswani, Issam Hadj Laradji, Mark Schmidt, Simon Lacoste-Julien |
| 2020 | ICLR | A Closer Look at the Optimization Landscapes of Generative Adversarial Networks. | Hugo Berard, Gauthier Gidel, Amjad Almahairi, Pascal Vincent, Simon Lacoste-Julien |
| 2020 | ICLR | Gradient-Based Neural DAG Learning. | Sbastien Lachapelle, Philippe Brouillard, Tristan Deleu, Simon Lacoste-Julien |
| 2020 | ICML | Stochastic Hamiltonian Gradient Methods for Smooth Games. | Nicolas Loizou, Hugo Berard, Alexia Jolicoeur-Martineau, Pascal Vincent, Simon Lacoste-Julien, Ioannis Mitliagkas |
| 2019 | AISTATS | Negative Momentum for Improved Game Dynamics. | Gauthier Gidel, Reyhane Askari Hemmat, Mohammad Pezeshki, Rmi Le Priol, Gabriel Huang, Simon Lacoste-Julien, Ioannis Mitliagkas |
| 2019 | ICLR | A Variational Inequality Perspective on Generative Adversarial Networks. | Gauthier Gidel, Hugo Berard, Gatan Vignoud, Pascal Vincent, Simon Lacoste-Julien |
| 2018 | AISTATS | Frank-Wolfe Splitting via Augmented Lagrangian Method. | Gauthier Gidel, Fabian Pedregosa, Simon Lacoste-Julien |
| 2018 | ICLR | Parametric Adversarial Divergences are Good Task Losses for Generative Modeling. | Gabriel Huang, Hugo Berard, Ahmed Touati, Gauthier Gidel, Pascal Vincent, Simon Lacoste-Julien |
| 2018 | ICLR | SEARNN: Training RNNs with global-local losses. | Rmi Leblond, Jean-Baptiste Alayrac, Anton Osokin, Simon Lacoste-Julien |
| 2018 | UAI | Adaptive Stochastic Dual Coordinate Ascent for Conditional Random Fields. | Rmi Le Priol, Alexandre Pich, Simon Lacoste-Julien |
| 2017 | AISTATS | Frank-Wolfe Algorithms for Saddle Point Problems. | Gauthier Gidel, Tony Jebara, Simon Lacoste-Julien |
| 2017 | AISTATS | ASAGA: Asynchronous Parallel SAGA. | Rmi Leblond, Fabian Pedregosa, Simon Lacoste-Julien |
| 2017 | ICCV | Joint Discovery of Object States and Manipulation Actions. | Jean-Baptiste Alayrac, Josef Sivic, Ivan Laptev, Simon Lacoste-Julien |
| 2017 | ICML | A Closer Look at Memorization in Deep Networks. | Devansh Arpit, Stanislaw Jastrzebski, Nicolas Ballas, David Krueger, Emmanuel Bengio, Maxinder S. Kanwal, Tegan Maharaj, Asja Fischer, Aaron C. Courville, Yoshua Bengio, Simon Lacoste-Julien |
| 2016 | CVPR | Unsupervised Learning from Narrated Instruction Videos. | Jean-Baptiste Alayrac, Piotr Bojanowski, Nishant Agrawal, Josef Sivic, Ivan Laptev, Simon Lacoste-Julien |
| 2016 | ICML | Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs. | Anton Osokin, Jean-Baptiste Alayrac, Isabella Lukasewitz, Puneet Kumar Dokania, Simon Lacoste-Julien |
| 2016 | ICML | Beyond CCA: Moment Matching for Multi-View Models. | Anastasia Podosinnikova, Francis R. Bach, Simon Lacoste-Julien |
| 2015 | AISTATS | Sequential Kernel Herding: Frank-Wolfe Optimization for Particle Filtering. | Simon Lacoste-Julien, Fredrik Lindsten, Francis R. Bach |
| 2015 | CVPR | On pairwise costs for network flow multi-object tracking. | Visesh Chari, Simon Lacoste-Julien, Ivan Laptev, Josef Sivic |
| 2013 | ICML | Block-Coordinate Frank-Wolfe Optimization for Structural SVMs. | Simon Lacoste-Julien, Martin Jaggi, Mark Schmidt, Patrick Pletscher |
| 2013 | KDD | SIGMa: simple greedy matching for aligning large knowledge bases. | Simon Lacoste-Julien, Konstantina Palla, Alex Davies, Gjergji Kasneci, Thore Graepel, Zoubin Ghahramani |
| 2012 | ICML | On the Equivalence between Herding and Conditional Gradient Algorithms. | Francis R. Bach, Simon Lacoste-Julien, Guillaume Obozinski |
| 2006 | NAACL | Word Alignment via Quadratic Assignment. | Simon Lacoste-Julien, Benjamin Taskar, Dan Klein, Michael I. Jordan |
| 2005 | NAACL | A Discriminative Matching Approach to Word Alignment. | Benjamin Taskar, Simon Lacoste-Julien, Dan Klein |