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papers

Publications (34)

cs.LG2014

Falsifiable implies Learnable

David Balduzzi

stat.ML2013

Correlated random features for fast semi-supervised learning

Brian McWilliams, David Balduzzi, Joachim M. Buhmann

cs.AI2014

Cortical prediction markets

David Balduzzi

cs.LG2018

Strongly-Typed Agents are Guaranteed to Interact Safely

David Balduzzi

cs.LG2018

Neural Taylor Approximations: Convergence and Exploration in Rectifier Networks

David Balduzzi, Brian McWilliams, Tony Butler-Yeoman

cs.LG2016

Deep Online Convex Optimization with Gated Games

David Balduzzi

cs.CV2015

Domain Generalization for Object Recognition with Multi-task Autoencoders

Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang +1

cs.LG2015

Semantics, Representations and Grammars for Deep Learning

David Balduzzi

cs.LG2019

Open-ended Learning in Symmetric Zero-sum Games

David Balduzzi, Marta Garnelo, Yoram Bachrach +4

cs.LG2014

Kickback cuts Backprop's red-tape: Biologically plausible credit assignment in neural networks

David Balduzzi, Hastagiri Vanchinathan, Joachim Buhmann

stat.ML2013

Domain Generalization via Invariant Feature Representation

Krikamol Muandet, David Balduzzi, Bernhard Schölkopf

cs.LG2013

Randomized co-training: from cortical neurons to machine learning and back again

David Balduzzi

q-bio.NC2012

Towards a learning-theoretic analysis of spike-timing dependent plasticity

David Balduzzi, Michel Besserve

cs.IT2012

On the information-theoretic structure of distributed measurements

David Balduzzi

stat.ML2012

A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function

Pedro A. Ortega, Jordi Grau-Moya, Tim Genewein +2

cs.CV2016

Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation

Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang +2

cs.LG2019

Differentiable Game Mechanics

Alistair Letcher, David Balduzzi, Sebastien Racaniere +4

cs.LG2016

Deep Online Convex Optimization by Putting Forecaster to Sleep

David Balduzzi

stat.ML2011

Falsification and future performance

David Balduzzi

cs.LG2018

The Mechanics of n-Player Differentiable Games

David Balduzzi, Sebastien Racaniere, James Martens +3

cs.LG2016

Strongly-Typed Recurrent Neural Networks

David Balduzzi, Muhammad Ghifary

math.ST2014

Quantifying causal influences

Dominik Janzing, David Balduzzi, Moritz Grosse-Wentrup +1

cs.IT2011

Information, learning and falsification

David Balduzzi

math.AG2006

Donagi-Markman cubic for Hitchin systems

David Balduzzi

cs.IT2011

Detecting emergent processes in cellular automata with excess information

David Balduzzi

math.AG2007

Poisson geometry of parabolic bundles on Elliptic curves

David Balduzzi

stat.ML2016

Compliance-Aware Bandits

Nicolás Della Penna, Mark D. Reid, David Balduzzi

cs.CV2016

Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization

Muhammad Ghifary, David Balduzzi, W. Bastiaan Kleijn +1

q-bio.NC2013

Metabolic cost as an organizing principle for cooperative learning

David Balduzzi, Pedro A Ortega, Michel Besserve

cs.SI2011

Uncovering the Temporal Dynamics of Diffusion Networks

Manuel Gomez Rodriguez, David Balduzzi, Bernhard Schölkopf

cs.NE2018

The Shattered Gradients Problem: If resnets are the answer, then what is the question?

David Balduzzi, Marcus Frean, Lennox Leary +3

cs.LG2015

Compatible Value Gradients for Reinforcement Learning of Continuous Deep Policies

David Balduzzi, Muhammad Ghifary

q-bio.NC2012

Regulating the information in spikes: a useful bias

David Balduzzi

cs.LG2018

Re-evaluating Evaluation

David Balduzzi, Karl Tuyls, Julien Perolat +1