Balduzzi, David

23 publications

AISTATS 2021 A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I Learned to Stop Worrying About Mixed-Nash and Love Neural Nets Gauthier Gidel, David Balduzzi, Wojciech Czarnecki, Marta Garnelo, Yoram Bachrach

ICML 2021 From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization Julien Perolat, Remi Munos, Jean-Baptiste Lespiau, Shayegan Omidshafiei, Mark Rowland, Pedro Ortega, Neil Burch, Thomas Anthony, David Balduzzi, Bart De Vylder, Georgios Piliouras, Marc Lanctot, Karl Tuyls

ICML 2020 From Chaos to Order: Symmetry and Conservation Laws in Game Dynamics Sai Ganesh Nagarajan, David Balduzzi, Georgios Piliouras

NeurIPS 2020 Real World Games Look like Spinning Tops Wojciech M. Czarnecki, Gauthier Gidel, Brendan Tracey, Karl Tuyls, Shayegan Omidshafiei, David Balduzzi, Max Jaderberg

ICLR 2020 Smooth Markets: A Basic Mechanism for Organizing Gradient-Based Learners David Balduzzi, Wojciech M Czarnecki, Thomas W Anthony, Ian M Gemp, Edward Hughes, Joel Z Leibo, Georgios Piliouras, Thore Graepel

JMLR 2019 Differentiable Game Mechanics Alistair Letcher, David Balduzzi, Sébastien Racanière, James Martens, Jakob Foerster, Karl Tuyls, Thore Graepel

ICML 2019 Open-Ended Learning in Symmetric Zero-Sum Games David Balduzzi, Marta Garnelo, Yoram Bachrach, Wojciech Czarnecki, Julien Perolat, Max Jaderberg, Thore Graepel

ICLR 2019 Stable Opponent Shaping in Differentiable Games Alistair Letcher, Jakob Foerster, David Balduzzi, Tim Rocktäschel, Shimon Whiteson

NeurIPS 2018 Re-Evaluating Evaluation David Balduzzi, Karl Tuyls, Julien Perolat, Thore Graepel

ICML 2018 The Mechanics of N-Player Differentiable Games David Balduzzi, Sebastien Racaniere, James Martens, Jakob Foerster, Karl Tuyls, Thore Graepel

ICML 2017 Neural Taylor Approximations: Convergence and Exploration in Rectifier Networks David Balduzzi, Brian McWilliams, Tony Butler-Yeoman

ICML 2017 Strongly-Typed Agents Are Guaranteed to Interact Safely David Balduzzi

ICML 2017 The Shattered Gradients Problem: If Resnets Are the Answer, Then What Is the Question? David Balduzzi, Marcus Frean, Lennox Leary, J. P. Lewis, Kurt Wan-Duo Ma, Brian McWilliams

ECCV 2016 Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang, David Balduzzi, Wen Li

ICML 2016 Strongly-Typed Recurrent Neural Networks David Balduzzi, Muhammad Ghifary

ICCV 2015 Domain Generalization for Object Recognition with Multi-Task Autoencoders Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang, David Balduzzi

AAAI 2015 Kickback Cuts Backprop's Red-Tape: Biologically Plausible Credit Assignment in Neural Networks David Balduzzi, Hastagiri Vanchinathan, Joachim M. Buhmann

UAI 2015 Learning the Structure of Sum-Product Networks via an SVD-Based Algorithm Tameem Adel, David Balduzzi, Ali Ghodsi

NeurIPS 2013 Correlated Random Features for Fast Semi-Supervised Learning Brian McWilliams, David Balduzzi, Joachim M Buhmann

ICML 2013 Domain Generalization via Invariant Feature Representation Krikamol Muandet, David Balduzzi, Bernhard Schölkopf

NeurIPS 2012 A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function Pedro Ortega, Jordi Grau-moya, Tim Genewein, David Balduzzi, Daniel Braun

NeurIPS 2012 Towards a Learning-Theoretic Analysis of Spike-Timing Dependent Plasticity David Balduzzi, Michel Besserve

ICML 2011 Uncovering the Temporal Dynamics of Diffusion Networks Manuel Gomez-Rodriguez, David Balduzzi, Bernhard Schölkopf