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David Balduzzi

19 papers · 2012–2021 · 6 conferences · across top CS/AI conferences

Achievements

๐Ÿƒ Academic Marathon (9) ๐ŸŒ‰ Interdisciplinary Bridge ๐Ÿ Cross-Pollinator (10) ๐Ÿฃ Hot Topic Early Bird ๐ŸŒˆ Renaissance Researcher (5) ๐ŸŒ Conference Polyglot (6) ๐Ÿ—บ๏ธ Taxonomy Completionist (15) ๐Ÿงญ Keyword Pioneer ๐ŸŒฑ Topic Pioneer ๐Ÿงฌ Topic Evolution ๐Ÿ‘‘ Triple Crown ๐Ÿ—ƒ๏ธ Keyword Collector (87) ๐Ÿš€ Conference Pioneer ๐Ÿ“ˆ Trend Setter ๐Ÿ’Ž Century Club (19) ๐Ÿ”ฅ Unstoppable (7) โ“ The Questioner

Conferences

ICML (9) NIPS (5) ICLR (2) AISTATS (1) ICCV (1) JMLR (1)

Top co-authors

Karl Tuyls (5) Thore Graepel (5) Julien Pรฉrolat (3) Brian McWilliams (3) Georgios Piliouras (3) Jakob Foerster (3) Sรฉbastien Racaniรจre (2) Wojciech M. Czarnecki (2) Marta Garnelo (2) Pedro Ortega (2)

Keywords

nash equilibrium (5) game theory (4) gradient descent (4) zero-sum game (3) domain generalization (2) kernel methods (2) differentiable game (2) generative adversarial network (2) feature learning (2) hamiltonian game (2) symplectic gradient adjustment (2) multi-agent system (2) tensor decomposition (1) evaluation methodology (1) non-convex optimization (1) adversarial training (1) batch normalization (1) nonparametric bayesian (1) benchmark evaluation (1) object recognition (1)

Papers

A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets AISTATS 2021
From Poincarรฉ Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization ICML 2021
Smooth markets: A basic mechanism for organizing gradient-based learners ICLR 2020
From Chaos to Order: Symmetry and Conservation Laws in Game Dynamics ICML 2020
Real World Games Look Like Spinning Tops NIPS 2020
Open-ended learning in symmetric zero-sum games ICML 2019
Differentiable Game Mechanics JMLR 2019
Stable Opponent Shaping in Differentiable Games ICLR 2019
The Mechanics of n-Player Differentiable Games ICML 2018
Re-evaluating evaluation NIPS 2018
Strongly-Typed Agents are Guaranteed to Interact Safely ICML 2017
The Shattered Gradients Problem: If resnets are the answer, then what is the question? ICML 2017
Neural Taylor Approximations: Convergence and Exploration in Rectifier Networks ICML 2017
Strongly-Typed Recurrent Neural Networks ICML 2016
Domain Generalization for Object Recognition With Multi-Task Autoencoders ICCV 2015
Domain Generalization via Invariant Feature Representation ICML 2013
Correlated random features for fast semi-supervised learning NIPS 2013
A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function NIPS 2012
Towards a learning-theoretic analysis of spike-timing dependent plasticity NIPS 2012