David Balduzzi

Orcid: 0000-0002-1466-7864

Affiliations:
  • Victoria University Wellington, NZ


According to our database1, David Balduzzi authored at least 51 papers between 2007 and 2022.

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Bibliography

2022
D3C: Reducing the Price of Anarchy in Multi-Agent Learning.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021
From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization.
Proceedings of the 38th International Conference on Machine Learning, 2021

Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Minimax Theorem for Latent Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets.
CoRR, 2020

Real World Games Look Like Spinning Tops.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

From Chaos to Order: Symmetry and Conservation Laws in Game Dynamics.
Proceedings of the 37th International Conference on Machine Learning, 2020

Smooth markets: A basic mechanism for organizing gradient-based learners.
Proceedings of the 8th International Conference on Learning Representations, 2020

Robust Self-organization in Games: Symmetries, Conservation Laws and Dimensionality Reduction.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Learning to Resolve Alliance Dilemmas in Many-Player Zero-Sum Games.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019
Differentiable Game Mechanics.
J. Mach. Learn. Res., 2019

LOGAN: Latent Optimisation for Generative Adversarial Networks.
CoRR, 2019

Open-ended learning in symmetric zero-sum games.
Proceedings of the 36th International Conference on Machine Learning, 2019

Stable Opponent Shaping in Differentiable Games.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Re-evaluating evaluation.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

The Mechanics of n-Player Differentiable Games.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Back To RGB: Deep articulated hand pose estimation from a single camera image.
Proceedings of the 2017 International Conference on Image and Vision Computing New Zealand, 2017

Neural Taylor Approximations: Convergence and Exploration in Rectifier Networks.
Proceedings of the 34th International Conference on Machine Learning, 2017

The Shattered Gradients Problem: If resnets are the answer, then what is the question?
Proceedings of the 34th International Conference on Machine Learning, 2017

Strongly-Typed Agents are Guaranteed to Interact Safely.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Compliance-Aware Bandits.
CoRR, 2016

Deep Online Convex Optimization with Gated Games.
CoRR, 2016

Strongly-Typed Recurrent Neural Networks.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation.
Proceedings of the Computer Vision - ECCV 2016, 2016

2015
Grammars for Games: A Gradient-Based, Game-Theoretic Framework for Optimization in Deep Learning.
Frontiers Robotics AI, 2015

Compatible Value Gradients for Reinforcement Learning of Continuous Deep Policies.
CoRR, 2015

Semantics, Representations and Grammars for Deep Learning.
CoRR, 2015

Learning the Structure of Sum-Product Networks via an SVD-based Algorithm.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Domain Generalization for Object Recognition with Multi-task Autoencoders.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Kickback Cuts Backprop's Red-Tape: Biologically Plausible Credit Assignment in Neural Networks.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Uncovering the structure and temporal dynamics of information propagation.
Netw. Sci., 2014

Falsifiable implies Learnable.
CoRR, 2014

Cortical prediction markets.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

2013
What can neurons do for their brain? Communicate selectivity with bursts.
Theory Biosci., 2013

Randomized co-training: from cortical neurons to machine learning and back again.
CoRR, 2013

Metabolic Cost as an Organizing Principle for Cooperative Learning.
Adv. Complex Syst., 2013

Correlated random features for fast semi-supervised learning.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Domain Generalization via Invariant Feature Representation.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
Regulating the information in spikes: a useful bias
CoRR, 2012

A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Towards a learning-theoretic analysis of spike-timing dependent plasticity.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011
Information, learning and falsification
CoRR, 2011

On the information-theoretic structure of distributed measurements
Proceedings of the Proceedings 7th International Workshop on Developments of Computational Methods, 2011

Uncovering the Temporal Dynamics of Diffusion Networks.
Proceedings of the 28th International Conference on Machine Learning, 2011

Estimating integrated information with TMS pulses during wakefulness, sleep, and under anesthesia.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Detecting emergent processes in cellular automata with excess information.
Proceedings of the Advances in Artificial Life: 20th Anniversary Edition, 2011

Falsification and Future Performance.
Proceedings of the Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence, 2011

2009
Qualia: The Geometry of Integrated Information.
PLoS Comput. Biol., 2009

2008
Integrated Information in Discrete Dynamical Systems: Motivation and Theoretical Framework.
PLoS Comput. Biol., 2008

2007
Measuring Consciousness as Integrated Information.
Proceedings of the AI and Consciousness: Theoretical Foundations and Current Approaches, 2007


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