David Brandfonbrener
14 papers · 2020–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (4) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (5)
🌉
Interdisciplinary Bridge
🌍
Conference Polyglot
(4)
💎
Century Club
(14)
⚡
Prolific Year
(5)
❓
The Questioner
🔥
Unstoppable
(6)
Conferences
ICML (5)
ICLR (4)
NIPS (4)
AISTATS (1)
Top co-authors
Keywords
behavior policy
(2)
offline reinforcement learning
(2)
reinforcement learning
(2)
regret bound
(2)
domain adaptation
(1)
function approximation
(1)
language modeling
(1)
multitask learning
(1)
behavior cloning
(1)
dynamic programming
(1)
inverse dynamics
(1)
policy improvement
(1)
action-value function
(1)
offline learning
(1)
trajectory distribution
(1)
contextual bandit
(1)
empirical baye
(1)
data selection
(1)
value-based learning
(1)
frequentist regret
(1)
Papers
Universal Length Generalization with Turing Programs
ICML 2025
SOAP: Improving and Stabilizing Shampoo using Adam for Language Modeling
ICLR 2025
Mixture of Parrots: Experts improve memorization more than reasoning
ICLR 2025
Deconstructing What Makes a Good Optimizer for Autoregressive Language Models
ICLR 2025
The Role of Sparsity for Length Generalization in LLMs
ICML 2025
Q-Probe: A Lightweight Approach to Reward Maximization for Language Models
ICML 2024
CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-training
NIPS 2024
Repeat After Me: Transformers are Better than State Space Models at Copying
ICML 2024
Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation
NIPS 2023
When does return-conditioned supervised learning work for offline reinforcement learning?
NIPS 2022
Offline RL Without Off-Policy Evaluation
NIPS 2021
Offline Contextual Bandits with Overparameterized Models
ICML 2021
Frequentist Regret Bounds for Randomized Least-Squares Value Iteration
AISTATS 2020
Geometric Insights into the Convergence of Nonlinear TD Learning
ICLR 2020