Adam Block
18 papers · 2021–2025 · 5 conferences · across top CS/AI conferences
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π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (27) π Conference Polyglot (5) π Renaissance Researcher (6) π§ Keyword Pioneer
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π
Keyword Champion
(5)
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The Questioner
(2)
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Prolific Year
(5)
π
Century Club
(18)
ποΈ
Keyword Collector
(56)
π₯
Unstoppable
(5)
Conferences
COLT (7)
NIPS (6)
ICLR (2)
ICML (2)
JMLR (1)
Top co-authors
Keywords
smoothed online learning
(5)
online learning
(3)
sample complexity
(3)
behavior cloning
(2)
regret bound
(2)
imitation learning
(2)
importance sampling
(1)
adversarial learning
(1)
representation learning
(1)
optimal transport
(1)
policy learning
(1)
empirical risk minimization
(1)
reinforcement learning
(1)
function approximation
(1)
sequential learning
(1)
rademacher complexity
(1)
learning theory
(1)
minimax regret
(1)
square loss
(1)
differential privacy
(1)
Papers
Self-Improvement in Language Models: The Sharpening Mechanism
ICLR 2025
Is Best-of-N the Best of Them? Coverage, Scaling, and Optimality in Inference-Time Alignment
ICML 2025
A Theory of Learning with Autoregressive Chain of Thought
COLT 2025
Computational-Statistical Tradeoffs at the Next-Token Prediction Barrier: Autoregressive and Imitation Learning under Misspecification (extended abstract)
COLT 2025
GaussMark: A Practical Approach for Structural Watermarking of Language Models
ICML 2025
Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and Autoregression
ICLR 2024
Oracle-Efficient Differentially Private Learning with Public Data
NIPS 2024
Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning
NIPS 2024
On the Performance of Empirical Risk Minimization with Smoothed Data
COLT 2024
Oracle-Efficient Smoothed Online Learning for Piecewise Continuous Decision Making
COLT 2023
Provable Guarantees for Generative Behavior Cloning: Bridging Low-Level Stability and High-Level Behavior
NIPS 2023
Smoothed Online Learning for Prediction in Piecewise Affine Systems
NIPS 2023
Efficient Model-Free Exploration in Low-Rank MDPs
NIPS 2023
The Sample Complexity of Approximate Rejection Sampling With Applications to Smoothed Online Learning
COLT 2023
Intrinsic Dimension Estimation Using Wasserstein Distance
JMLR 2022
Smoothed Online Learning is as Easy as Statistical Learning
COLT 2022
Efficient and Near-Optimal Smoothed Online Learning for Generalized Linear Functions
NIPS 2022
Majorizing Measures, Sequential Complexities, and Online Learning
COLT 2021