David Brandfonbrener
14 papers · 2020–2025 · 4 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (23) π Academic Marathon Β· Sprint π£ Hot Topic Early Bird
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Prolific Year Β· Productive
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Unstoppable Β· Bronze
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The Questioner
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Century Club Β· Bronze
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Keyword Collector
(71)
Venues
Top co-authors
Research topics
Keywords
offline reinforcement learning
(2)
length generalization
(2)
behavior policy
(2)
transformer
(2)
reinforcement learning
(2)
regret bound
(2)
language model
(2)
imitation learning
(1)
language modeling
(1)
temporal difference learning
(1)
function approximation
(1)
embedding space
(1)
behavior cloning
(1)
value function
(1)
off-policy evaluation
(1)
inverse dynamics
(1)
sparsity
(1)
domain adaptation
(1)
policy improvement
(1)
markov chain
(1)
Papers
Deconstructing What Makes a Good Optimizer for Autoregressive Language Models
ICLR 2025
Mixture of Parrots: Experts improve memorization more than reasoning
ICLR 2025
SOAP: Improving and Stabilizing Shampoo using Adam for Language Modeling
ICLR 2025
The Role of Sparsity for Length Generalization in LLMs
ICML 2025
Universal Length Generalization with Turing Programs
ICML 2025
CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-training
NeurIPS 2024
Q-Probe: A Lightweight Approach to Reward Maximization for Language Models
ICML 2024
Repeat After Me: Transformers are Better than State Space Models at Copying
ICML 2024
Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation
NeurIPS 2023
When does return-conditioned supervised learning work for offline reinforcement learning?
NeurIPS 2022
Offline Contextual Bandits with Overparameterized Models
ICML 2021
Offline RL Without Off-Policy Evaluation
NeurIPS 2021
Frequentist Regret Bounds for Randomized Least-Squares Value Iteration
AISTATS 2020
Geometric Insights into the Convergence of Nonlinear TD Learning
ICLR 2020