← Authors

Ioannis Mitliagkas

34 papers · 2013–2025 · 5 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (11) πŸ—ΊοΈ Taxonomy Completionist (49) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (5) πŸƒ Academic Marathon (12) πŸ‘‘ Triple Crown πŸ† Keyword Champion (2) 🌱 Topic Pioneer πŸ—ƒοΈ Keyword Collector (114) ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ’Ž Century Club (34) πŸ”₯ Unstoppable (10) πŸ“ˆ Trend Setter

Conferences

ICML (11) NIPS (10) AISTATS (6) ICLR (6) CLEAR (1)

Top co-authors

Simon Lacoste-Julien (7) Gauthier Gidel (7) Yoshua Bengio (5) Divyat Mahajan (5) Charles Guille-Escuret (5) Nicolas Loizou (3) Joao Monteiro (3) Kartik Ahuja (3) Ryan D'Orazio (2) Alexia Jolicoeur-Martineau (2)

Keywords

representation learning (5) gradient descent (4) stochastic optimization (3) generative adversarial network (3) bilinear game (3) convergence rate (3) gaussian mixture model (2) condition number (2) differentiable game (2) variance reduction (2) domain generalization (2) anomaly detection (2) gibbs sampling (2) distribution shift (2) adversarial robustness (2) markov chain monte carlo (2) principal component analysis (2) convergence analysis (2) independent component analysis (2) consensus optimization (2)

Papers

Solving hidden monotone variational inequalities with surrogate losses ICLR 2025
Compositional Risk Minimization ICML 2025
Empirical Analysis of Model Selection for Heterogeneous Causal Effect Estimation ICLR 2024
No Wrong Turns: The Simple Geometry Of Neural Networks Optimization Paths ICML 2024
Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection NIPS 2024
CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning NIPS 2023
Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation NIPS 2023
Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning ICML 2023
A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games ICLR 2023
Neural Networks Efficiently Learn Low-Dimensional Representations with SGD ICLR 2023
Performative Prediction with Neural Networks AISTATS 2023
Towards efficient representation identification in supervised learning CLEAR 2022
Gradient Descent Is Optimal Under Lower Restricted Secant Inequality And Upper Error Bound NIPS 2022
Adversarial score matching and improved sampling for image generation ICLR 2021
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization NIPS 2021
Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity NIPS 2021
A Study of Condition Numbers for First-Order Optimization AISTATS 2021
Stochastic Hamiltonian Gradient Methods for Smooth Games ICML 2020
In search of robust measures of generalization NIPS 2020
Accelerating Smooth Games by Manipulating Spectral Shapes AISTATS 2020
A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Differentiable Games AISTATS 2020
Linear Lower Bounds and Conditioning of Differentiable Games ICML 2020
h-detach: Modifying the LSTM Gradient Towards Better Optimization ICLR 2019
Reducing the variance in online optimization by transporting past gradients NIPS 2019
Negative Momentum for Improved Game Dynamics AISTATS 2019
Multi-objective training of Generative Adversarial Networks with multiple discriminators ICML 2019
State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations ICML 2019
Manifold Mixup: Better Representations by Interpolating Hidden States ICML 2019
Learning Representations and Generative Models for 3D Point Clouds ICML 2018
Accelerated Stochastic Power Iteration AISTATS 2018
Improving Gibbs Sampler Scan Quality with DoGS ICML 2017
Scan Order in Gibbs Sampling: Models in Which it Matters and Bounds on How Much NIPS 2016
Finding Dense Subgraphs via Low-Rank Bilinear Optimization ICML 2014
Memory Limited, Streaming PCA NIPS 2013