Peter Orbanz
10 papers · 2009–2025 · 4 venues · across top CS/AI venues
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Achievements
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🏃 Academic Marathon · Full 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (25)
🏆
Keyword Champion
(2)
📈
Trend Setter
💎
Century Club · Bronze
🗃️
Keyword Collector
(63)
Venues
Top co-authors
Research topics
Machine Learning
(7)
Optimization & Theory
(6)
Deep Learning
(3)
Mathematics & Optimization
(3)
Bayesian & Probabilistic · Machine Learning
(3)
Artificial Intelligence
(2)
Knowledge & Reasoning
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Core Methods
(2)
Learning Types
(2)
Architectures
(1)
Mathematics
(1)
Models
(1)
Optimization
(1)
Probability
(1)
Keywords
bayesian inference
(2)
neural network
(2)
elliptical slice sampling
(2)
gaussian process
(2)
relational data
(2)
network analysis
(1)
nonparametric bayesian
(1)
image classification
(1)
empirical risk minimization
(1)
markov chain monte carlo
(1)
hierarchical bayesian
(1)
bayesian nonparametrics
(1)
graph analysis
(1)
exponential family
(1)
indian buffet process
(1)
graph inference
(1)
mcmc sampling
(1)
stochastic process
(1)
exchangeable arrays
(1)
nonparametric bayesian models
(1)
Papers
Designing Mechanical Meta-Materials by Learning Equivariant Flows
ICLR 2025
Diagonal Symmetrization of Neural Network Solvers for the Many-Electron Schrödinger Equation
ICML 2025
Distinguishing Cause from Effect with Causal Velocity Models
ICML 2025
Efficiently Vectorized MCMC on Modern Accelerators
ICML 2025
The Graph Pencil Method: Mapping Subgraph Densities to Stochastic Block Models
NeurIPS 2023
Empirical Risk Minimization and Stochastic Gradient Descent for Relational Data
AISTATS 2019
Non-vacuous Generalization Bounds at the ImageNet Scale: a PAC-Bayesian Compression Approach
ICLR 2019
Random function priors for exchangeable arrays with applications to graphs and relational data
NeurIPS 2012
Dependent Indian Buffet Processes
AISTATS 2010
Construction of Nonparametric Bayesian Models from Parametric Bayes Equations
NeurIPS 2009