Andreas Kirsch
8 papers · 2019–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (22) 🐣 Hot Topic Early Bird
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Machine Learning
(8)
Artificial Intelligence
(5)
Learning Types
(5)
Optimization & Theory
(5)
Core Methods
(3)
Natural Language Processing
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Core AI
(2)
Learning Paradigms
(2)
Resources & Methods
(2)
Deep Learning
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Generation
(1)
Keywords
bayesian active learning
(3)
active learning
(2)
uncertainty quantification
(2)
data selection
(2)
bayesian inference
(1)
curriculum learning
(1)
sample efficiency
(1)
text generation
(1)
domain adaptation
(1)
language modeling
(1)
mutual information
(1)
feature space
(1)
empirical baye
(1)
greedy algorithm
(1)
acquisition function
(1)
information gain
(1)
epistemic uncertainty
(1)
language model
(1)
model selection
(1)
causal inference
(1)
Papers
All models are wrong, some are useful: Model Selection with Limited Labels
AISTATS 2025
Turning Up the Heat: Min-p Sampling for Creative and Coherent LLM Outputs
ICLR 2025
CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-training
NeurIPS 2024
Deep Deterministic Uncertainty: A New Simple Baseline
CVPR 2023
Prediction-Oriented Bayesian Active Learning
AISTATS 2023
Prioritized Training on Points that are Learnable, Worth Learning, and not yet Learnt
ICML 2022
Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data
NeurIPS 2021
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning
NeurIPS 2019