Jörg Bornschein
10 papers · 2016–2024 · 4 venues · across top CS/AI venues
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (31)
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Machine Learning
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Optimization & Theory
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continual learning
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minimum description length
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variational autoencoder
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online learning
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model selection
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sequential learning
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supervised learning
(1)
bayesian inference
(1)
sequence modeling
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transfer learning
(1)
uncertainty quantification
(1)
variational inference
(1)
denoising
(1)
few-shot learning
(1)
inverse reinforcement learning
(1)
graph structure
(1)
imitation learning
(1)
reinforcement learning from human feedback
(1)
causal structure learning
(1)
Papers
Denoising Autoregressive Representation Learning
ICML 2024
Imitating Language via Scalable Inverse Reinforcement Learning
NeurIPS 2024
Kalman Filter for Online Classification of Non-Stationary Data
ICLR 2024
Evaluating Representations with Readout Model Switching
ICLR 2023
Learning to Induce Causal Structure
ICLR 2023
Nevis'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research
JMLR 2023
Sequential Learning of Neural Networks for Prequential MDL
ICLR 2023
Small Data, Big Decisions: Model Selection in the Small-Data Regime
ICML 2020
Variational Memory Addressing in Generative Models
NeurIPS 2017
Bidirectional Helmholtz Machines
ICML 2016