Ioannis Mitliagkas

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

Venues

Active years

2010–2025

Best venue rank

Where they publish

Papers

26 indexed papers, newest first.

Year	Venue	Title	Authors
2025	ICLR	Solving hidden monotone variational inequalities with surrogate losses.	Ryan D'Orazio, Danilo Vucetic, Zichu Liu, Junhyung Lyle Kim, Ioannis Mitliagkas, Gauthier Gidel
2025	ICML	Compositional Risk Minimization.	Divyat Mahajan, Mohammad Pezeshki, Charles Arnal, Ioannis Mitliagkas, Kartik Ahuja, Pascal Vincent
2024	ICLR	Empirical Analysis of Model Selection for Heterogeneous Causal Effect Estimation.	Divyat Mahajan, Ioannis Mitliagkas, Brady Neal, Vasilis Syrgkanis
2024	ICML	No Wrong Turns: The Simple Geometry Of Neural Networks Optimization Paths.	Charles Guille-Escuret, Hiroki Naganuma, Kilian Fatras, Ioannis Mitliagkas
2023	AISTATS	Performative Prediction with Neural Networks.	Mehrnaz Mofakhami, Ioannis Mitliagkas, Gauthier Gidel
2023	ICLR	Neural Networks Efficiently Learn Low-Dimensional Representations with SGD.	Alireza Mousavi-Hosseini, Sejun Park, Manuela Girotti, Ioannis Mitliagkas, Murat A. Erdogdu
2023	ICLR	A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games.	Samuel Sokota, Ryan D'Orazio, J. Zico Kolter, Nicolas Loizou, Marc Lanctot, Ioannis Mitliagkas, Noam Brown, Christian Kroer
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
2021	AISTATS	A Study of Condition Numbers for First-Order Optimization.	Charles Guille-Escuret, Manuela Girotti, Baptiste Goujaud, Ioannis Mitliagkas
2021	ICLR	Adversarial score matching and improved sampling for image generation.	Alexia Jolicoeur-Martineau, Rmi Pich-Taillefer, Ioannis Mitliagkas, Remi Tachet des Combes
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	ICML	Linear Lower Bounds and Conditioning of Differentiable Games.	Adam Ibrahim, Wass Azizian, Gauthier Gidel, Ioannis Mitliagkas
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	h-detach: Modifying the LSTM Gradient Towards Better Optimization.	Bhargav Kanuparthi, Devansh Arpit, Giancarlo Kerg, Nan Rosemary Ke, Ioannis Mitliagkas, Yoshua Bengio
2019	ICML	Multi-objective training of Generative Adversarial Networks with multiple discriminators.	Isabela Albuquerque, Joo Monteiro, Thang Doan, Breandan Considine, Tiago H. Falk, Ioannis Mitliagkas
2019	ICML	State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations.	Alex Lamb, Jonathan Binas, Anirudh Goyal, Sandeep Subramanian, Ioannis Mitliagkas, Yoshua Bengio, Michael Mozer
2019	ICML	Manifold Mixup: Better Representations by Interpolating Hidden States.	Vikas Verma, Alex Lamb, Christopher Beckham, Amir Najafi, Ioannis Mitliagkas, David Lopez-Paz, Yoshua Bengio
2018	AISTATS	Accelerated Stochastic Power Iteration.	Peng Xu, Bryan D. He, Christopher De Sa, Ioannis Mitliagkas, Christopher R
2018	ICLR	Learning Representations and Generative Models for 3D Point Clouds.	Panos Achlioptas, Olga Diamanti, Ioannis Mitliagkas, Leonidas J. Guibas
2018	ICML	Learning Representations and Generative Models for 3D Point Clouds.	Panos Achlioptas, Olga Diamanti, Ioannis Mitliagkas, Leonidas J. Guibas
2017	ICML	Improving Gibbs Sampler Scan Quality with DoGS.	Ioannis Mitliagkas, Lester W. Mackey
2017	SC	Deep learning at 15PF: supervised and semi-supervised classification for scientific data.	Thorsten Kurth, Jian Zhang, Nadathur Satish, Evan Racah, Ioannis Mitliagkas, Md. Mostofa Ali Patwary, Tareq M. Malas, Narayanan Sundaram, Wahid Bhimji, Mikhail Smorkalov, Jack Deslippe, Mikhail Shiryaev, Srinivas Sridharan, Prabhat, Pradeep Dubey
2014	ICML	Finding Dense Subgraphs via Low-Rank Bilinear Optimization.	Dimitris S. Papailiopoulos, Ioannis Mitliagkas, Alexandros G. Dimakis, Constantine Caramanis
2010	ICASSP	Distributed joint power and admission control for ad-hoc and cognitive underlay networks.	Ioannis Mitliagkas, Nicholas D. Sidiropoulos, Ananthram Swami