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Theory

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Papers

Are Emergent Abilities of Large Language Models a Mirage? NIPS 2023
New Complexity-Theoretic Frontiers of Tractability for Neural Network Training NIPS 2023
Exploring and Interacting with the Set of Good Sparse Generalized Additive Models NIPS 2023
The emergence of clusters in self-attention dynamics NIPS 2023
Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection NIPS 2023
Residual Alignment: Uncovering the Mechanisms of Residual Networks NIPS 2023
Globally injective and bijective neural operators NIPS 2023
Implicit Bias of (Stochastic) Gradient Descent for Rank-1 Linear Neural Network NIPS 2023
MADG: Margin-based Adversarial Learning for Domain Generalization NIPS 2023
Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback NIPS 2023
Online RL in Linearly $q^\pi$-Realizable MDPs Is as Easy as in Linear MDPs If You Learn What to Ignore NIPS 2023
Entropy-dissipation Informed Neural Network for McKean-Vlasov Type PDEs NIPS 2023
Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL NIPS 2023
Robust Data Valuation with Weighted Banzhaf Values NIPS 2023
Neural Harmonics: Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning NIPS 2023
Scaling MLPs: A Tale of Inductive Bias NIPS 2023
Do Not Marginalize Mechanisms, Rather Consolidate! NIPS 2023
On the Size and Approximation Error of Distilled Datasets NIPS 2023
Provable benefits of score matching NIPS 2023
The Bayesian Stability Zoo NIPS 2023
Survival Instinct in Offline Reinforcement Learning NIPS 2023
Stability Guarantees for Feature Attributions with Multiplicative Smoothing NIPS 2023
Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-off NIPS 2023
Sample Complexity of Goal-Conditioned Hierarchical Reinforcement Learning NIPS 2023
Going beyond persistent homology using persistent homology NIPS 2023