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David Balduzzi
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- affiliation: Victoria University Wellington, NZ
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2020 – today
- 2022
- [c33]Ian Gemp, Kevin R. McKee, Richard Everett, Edgar A. Duéñez-Guzmán, Yoram Bachrach, David Balduzzi, Andrea Tacchetti:
D3C: Reducing the Price of Anarchy in Multi-Agent Learning. AAMAS 2022: 498-506 - 2021
- [c32]Gauthier Gidel, David Balduzzi, Wojciech Czarnecki, Marta Garnelo, Yoram Bachrach:
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: 2548-2556 - [c31]Marta Garnelo, Wojciech Marian Czarnecki, Siqi Liu, Dhruva Tirumala, Junhyuk Oh, Gauthier Gidel, Hado van Hasselt, David Balduzzi:
Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity. AAMAS 2021: 1501-1503 - [c30]Julien Pérolat, Rémi Munos, Jean-Baptiste Lespiau, Shayegan Omidshafiei, Mark Rowland, Pedro A. Ortega, Neil Burch, Thomas W. Anthony, David Balduzzi, Bart De Vylder, Georgios Piliouras, Marc Lanctot, Karl Tuyls:
From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization. ICML 2021: 8525-8535 - [i38]Marta Garnelo, Wojciech Marian Czarnecki, Siqi Liu, Dhruva Tirumala, Junhyuk Oh, Gauthier Gidel, Hado van Hasselt, David Balduzzi:
Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity. CoRR abs/2110.04041 (2021) - 2020
- [c29]Edward Hughes, Thomas W. Anthony, Tom Eccles, Joel Z. Leibo, David Balduzzi, Yoram Bachrach:
Learning to Resolve Alliance Dilemmas in Many-Player Zero-Sum Games. AAMAS 2020: 538-547 - [c28]Sai Ganesh Nagarajan, David Balduzzi, Georgios Piliouras:
Robust Self-organization in Games: Symmetries, Conservation Laws and Dimensionality Reduction. AAMAS 2020: 1946-1948 - [c27]David Balduzzi, Wojciech M. Czarnecki, Tom Anthony, Ian Gemp, Edward Hughes, Joel Z. Leibo
, Georgios Piliouras, Thore Graepel:
Smooth markets: A basic mechanism for organizing gradient-based learners. ICLR 2020 - [c26]Sai Ganesh Nagarajan, David Balduzzi, Georgios Piliouras:
From Chaos to Order: Symmetry and Conservation Laws in Game Dynamics. ICML 2020: 7186-7196 - [c25]Wojciech M. Czarnecki, Gauthier Gidel, Brendan D. Tracey, Karl Tuyls, Shayegan Omidshafiei, David Balduzzi, Max Jaderberg:
Real World Games Look Like Spinning Tops. NeurIPS 2020 - [i37]David Balduzzi, Wojciech M. Czarnecki, Thomas W. Anthony, Ian M. Gemp, Edward Hughes, Joel Z. Leibo, Georgios Piliouras, Thore Graepel:
Smooth markets: A basic mechanism for organizing gradient-based learners. CoRR abs/2001.04678 (2020) - [i36]Gauthier Gidel, David Balduzzi, Wojciech Marian Czarnecki, Marta Garnelo, Yoram Bachrach:
Minimax Theorem for Latent Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets. CoRR abs/2002.05820 (2020) - [i35]Julien Pérolat, Rémi Munos, Jean-Baptiste Lespiau, Shayegan Omidshafiei, Mark Rowland, Pedro A. Ortega, Neil Burch, Thomas W. Anthony, David Balduzzi, Bart De Vylder, Georgios Piliouras, Marc Lanctot, Karl Tuyls:
From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization. CoRR abs/2002.08456 (2020) - [i34]Edward Hughes, Thomas W. Anthony, Tom Eccles, Joel Z. Leibo, David Balduzzi, Yoram Bachrach:
Learning to Resolve Alliance Dilemmas in Many-Player Zero-Sum Games. CoRR abs/2003.00799 (2020) - [i33]Wojciech Marian Czarnecki, Gauthier Gidel, Brendan D. Tracey, Karl Tuyls, Shayegan Omidshafiei, David Balduzzi, Max Jaderberg:
Real World Games Look Like Spinning Tops. CoRR abs/2004.09468 (2020) - [i32]Ian Gemp, Kevin R. McKee, Richard Everett, Edgar A. Duéñez-Guzmán, Yoram Bachrach, David Balduzzi, Andrea Tacchetti:
D3C: Reducing the Price of Anarchy in Multi-Agent Learning. CoRR abs/2010.00575 (2020)
2010 – 2019
- 2019
- [j8]Alistair Letcher, David Balduzzi, Sébastien Racanière, James Martens, Jakob N. Foerster, Karl Tuyls, Thore Graepel:
Differentiable Game Mechanics. J. Mach. Learn. Res. 20: 84:1-84:40 (2019) - [c24]Alistair Letcher, Jakob N. Foerster, David Balduzzi, Tim Rocktäschel, Shimon Whiteson:
Stable Opponent Shaping in Differentiable Games. ICLR (Poster) 2019 - [c23]David Balduzzi, Marta Garnelo, Yoram Bachrach, Wojciech Czarnecki, Julien Pérolat, Max Jaderberg, Thore Graepel:
Open-ended learning in symmetric zero-sum games. ICML 2019: 434-443 - [i31]David Balduzzi, Marta Garnelo, Yoram Bachrach, Wojciech M. Czarnecki, Julien Pérolat, Max Jaderberg, Thore Graepel:
Open-ended Learning in Symmetric Zero-sum Games. CoRR abs/1901.08106 (2019) - [i30]Alistair Letcher, David Balduzzi, Sébastien Racanière, James Martens, Jakob N. Foerster, Karl Tuyls, Thore Graepel:
Differentiable Game Mechanics. CoRR abs/1905.04926 (2019) - [i29]Yan Wu, Jeff Donahue, David Balduzzi, Karen Simonyan, Timothy P. Lillicrap:
LOGAN: Latent Optimisation for Generative Adversarial Networks. CoRR abs/1912.00953 (2019) - 2018
- [c22]David Balduzzi, Sébastien Racanière, James Martens, Jakob N. Foerster, Karl Tuyls, Thore Graepel:
The Mechanics of n-Player Differentiable Games. ICML 2018: 363-372 - [c21]David Balduzzi, Karl Tuyls, Julien Pérolat, Thore Graepel:
Re-evaluating evaluation. NeurIPS 2018: 3272-3283 - [i28]David Balduzzi, Sébastien Racanière, James Martens, Jakob N. Foerster, Karl Tuyls, Thore Graepel:
The Mechanics of n-Player Differentiable Games. CoRR abs/1802.05642 (2018) - [i27]David Balduzzi, Karl Tuyls, Julien Pérolat, Thore Graepel:
Re-evaluating evaluation. CoRR abs/1806.02643 (2018) - [i26]Alistair Letcher, Jakob N. Foerster, David Balduzzi, Tim Rocktäschel, Shimon Whiteson:
Stable Opponent Shaping in Differentiable Games. CoRR abs/1811.08469 (2018) - 2017
- [j7]Muhammad Ghifary, David Balduzzi, W. Bastiaan Kleijn
, Mengjie Zhang:
Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization. IEEE Trans. Pattern Anal. Mach. Intell. 39(7): 1414-1430 (2017) - [c20]David Balduzzi:
Strongly-Typed Agents are Guaranteed to Interact Safely. ICML 2017: 332-341 - [c19]David Balduzzi, Marcus Frean, Lennox Leary, J. P. Lewis, Kurt Wan-Duo Ma, Brian McWilliams:
The Shattered Gradients Problem: If resnets are the answer, then what is the question? ICML 2017: 342-350 - [c18]David Balduzzi, Brian McWilliams, Tony Butler-Yeoman:
Neural Taylor Approximations: Convergence and Exploration in Rectifier Networks. ICML 2017: 351-360 - [c17]Kurt Wan-Duo Ma, J. P. Lewis
, Marcus Frean, David Balduzzi:
Back To RGB: Deep articulated hand pose estimation from a single camera image. IVCNZ 2017: 1-6 - [i25]David Balduzzi:
Strongly-Typed Agents are Guaranteed to Interact Safely. CoRR abs/1702.07450 (2017) - [i24]David Balduzzi, Marcus Frean, Lennox Leary, J. P. Lewis, Kurt Wan-Duo Ma, Brian McWilliams:
The Shattered Gradients Problem: If resnets are the answer, then what is the question? CoRR abs/1702.08591 (2017) - 2016
- [c16]Muhammad Ghifary, W. Bastiaan Kleijn
, Mengjie Zhang, David Balduzzi, Wen Li:
Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation. ECCV (4) 2016: 597-613 - [c15]David Balduzzi, Muhammad Ghifary:
Strongly-Typed Recurrent Neural Networks. ICML 2016: 1292-1300 - [i23]David Balduzzi, Muhammad Ghifary:
Strongly-Typed Recurrent Neural Networks. CoRR abs/1602.02218 (2016) - [i22]Nicolás Della Penna, Mark D. Reid, David Balduzzi:
Compliance-Aware Bandits. CoRR abs/1602.02852 (2016) - [i21]David Balduzzi:
Deep Online Convex Optimization with Gated Games. CoRR abs/1604.01952 (2016) - [i20]Muhammad Ghifary, W. Bastiaan Kleijn
, Mengjie Zhang, David Balduzzi, Wen Li:
Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation. CoRR abs/1607.03516 (2016) - [i19]David Balduzzi, Brian McWilliams, Tony Butler-Yeoman:
Neural Taylor Approximations: Convergence and Exploration in Rectifier Networks. CoRR abs/1611.02345 (2016) - 2015
- [j6]David Balduzzi:
Grammars for Games: A Gradient-Based, Game-Theoretic Framework for Optimization in Deep Learning. Frontiers Robotics AI 2: 39 (2015) - [c14]David Balduzzi, Hastagiri Vanchinathan, Joachim M. Buhmann:
Kickback Cuts Backprop's Red-Tape: Biologically Plausible Credit Assignment in Neural Networks. AAAI 2015: 485-491 - [c13]Muhammad Ghifary, W. Bastiaan Kleijn
, Mengjie Zhang, David Balduzzi:
Domain Generalization for Object Recognition with Multi-task Autoencoders. ICCV 2015: 2551-2559 - [c12]Tameem Adel, David Balduzzi, Ali Ghodsi:
Learning the Structure of Sum-Product Networks via an SVD-based Algorithm. UAI 2015: 32-41 - [i18]Muhammad Ghifary, W. Bastiaan Kleijn
, Mengjie Zhang, David Balduzzi:
Domain Generalization for Object Recognition with Multi-task Autoencoders. CoRR abs/1508.07680 (2015) - [i17]David Balduzzi, Muhammad Ghifary:
Compatible Value Gradients for Reinforcement Learning of Continuous Deep Policies. CoRR abs/1509.03005 (2015) - [i16]David Balduzzi:
Semantics, Representations and Grammars for Deep Learning. CoRR abs/1509.08627 (2015) - [i15]Muhammad Ghifary, David Balduzzi, W. Bastiaan Kleijn
, Mengjie Zhang:
Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization. CoRR abs/1510.04373 (2015) - 2014
- [j5]Manuel Gomez-Rodriguez, Jure Leskovec
, David Balduzzi, Bernhard Schölkopf
:
Uncovering the structure and temporal dynamics of information propagation. Netw. Sci. 2(1): 26-65 (2014) - [c11]David Balduzzi:
Cortical prediction markets. AAMAS 2014: 1265-1272 - [i14]David Balduzzi:
Cortical prediction markets. CoRR abs/1401.1465 (2014) - [i13]David Balduzzi:
Falsifiable implies Learnable. CoRR abs/1408.6618 (2014) - [i12]David Balduzzi, Hastagiri Vanchinathan, Joachim M. Buhmann:
Kickback cuts Backprop's red-tape: Biologically plausible credit assignment in neural networks. CoRR abs/1411.6191 (2014) - 2013
- [j4]David Balduzzi
, Pedro A. Ortega, Michel Besserve:
Metabolic Cost as an Organizing Principle for Cooperative Learning. Adv. Complex Syst. 16(2-3) (2013) - [j3]David Balduzzi
, Giulio Tononi:
What can neurons do for their brain? Communicate selectivity with bursts. Theory Biosci. 132(1): 27-39 (2013) - [c10]Krikamol Muandet, David Balduzzi, Bernhard Schölkopf:
Domain Generalization via Invariant Feature Representation. ICML (1) 2013: 10-18 - [c9]Brian McWilliams, David Balduzzi, Joachim M. Buhmann:
Correlated random features for fast semi-supervised learning. NIPS 2013: 440-448 - [i11]Krikamol Muandet, David Balduzzi, Bernhard Schölkopf:
Domain Generalization via Invariant Feature Representation. CoRR abs/1301.2115 (2013) - [i10]Brian McWilliams, David Balduzzi, Joachim M. Buhmann:
Correlated random features for fast semi-supervised learning. CoRR abs/1306.5554 (2013) - [i9]David Balduzzi:
Randomized co-training: from cortical neurons to machine learning and back again. CoRR abs/1310.6536 (2013) - 2012
- [c8]David Balduzzi, Michel Besserve:
Towards a learning-theoretic analysis of spike-timing dependent plasticity. NIPS 2012: 2465-2473 - [c7]Pedro A. Ortega, Jordi Grau-Moya, Tim Genewein, David Balduzzi, Daniel A. Braun:
A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function. NIPS 2012: 3014-3022 - [i8]David Balduzzi, Pedro A. Ortega, Michel Besserve:
Metabolic cost as an organizing principle for cooperative learning. CoRR abs/1202.4482 (2012) - [i7]Pedro A. Ortega, Jordi Grau-Moya, Tim Genewein, David Balduzzi, Daniel A. Braun:
A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function. CoRR abs/1206.1898 (2012) - [i6]David Balduzzi, Michel Besserve:
Towards a learning-theoretic analysis of spike-timing dependent plasticity. CoRR abs/1209.5549 (2012) - [i5]David Balduzzi:
Regulating the information in spikes: a useful bias. CoRR abs/1210.4695 (2012) - 2011
- [c6]David Balduzzi
:
Falsification and Future Performance. Algorithmic Probability and Friends 2011: 65-78 - [c5]David Balduzzi:
Detecting emergent processes in cellular automata with excess information. ECAL 2011: 55-62 - [c4]David Balduzzi:
Estimating integrated information with TMS pulses during wakefulness, sleep, and under anesthesia. EMBC 2011: 4717-4720 - [c3]Manuel Gomez-Rodriguez, David Balduzzi, Bernhard Schölkopf:
Uncovering the Temporal Dynamics of Diffusion Networks. ICML 2011: 561-568 - [c2]David Balduzzi
:
On the information-theoretic structure of distributed measurements. DCM 2011: 28-42 - [i4]David Balduzzi:
Detecting emergent processes in cellular automata with excess information. CoRR abs/1105.0158 (2011) - [i3]Manuel Gomez-Rodriguez, David Balduzzi, Bernhard Schölkopf:
Uncovering the Temporal Dynamics of Diffusion Networks. CoRR abs/1105.0697 (2011) - [i2]David Balduzzi:
Information, learning and falsification. CoRR abs/1110.3592 (2011) - [i1]David Balduzzi:
Falsification and future performance. CoRR abs/1111.5648 (2011)
2000 – 2009
- 2009
- [j2]David Balduzzi
, Giulio Tononi:
Qualia: The Geometry of Integrated Information. PLoS Comput. Biol. 5(8) (2009) - 2008
- [j1]David Balduzzi
, Giulio Tononi:
Integrated Information in Discrete Dynamical Systems: Motivation and Theoretical Framework. PLoS Comput. Biol. 4(6) (2008) - 2007
- [c1]Giulio Tononi, David Balduzzi:
Measuring Consciousness as Integrated Information. AAAI Fall Symposium: AI and Consciousness 2007: 17
Coauthor Index
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