David Balduzzi
19 papers · 2012–2021 · 6 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🗺️ Taxonomy Completionist (15) 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird
🌍
Conference Polyglot
(6)
🗺️
Taxonomy Completionist
(15)
🧭
Keyword Pioneer
🌱
Topic Pioneer
🧬
Topic Evolution
👑
Triple Crown
🗃️
Keyword Collector
(87)
🚀
Conference Pioneer
📈
Trend Setter
💎
Century Club
(19)
🔥
Unstoppable
(7)
❓
The Questioner
Conferences
ICML (9)
NIPS (5)
ICLR (2)
AISTATS (1)
ICCV (1)
JMLR (1)
Top co-authors
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 Poincaré 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