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Learning Theory

Learning theory

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Showing 201–250 of 852 papers

TitleStatusHype
Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity MeasuresCode0
Transductive Learning Is Compact—0
Stochastic Gradient Flow Dynamics of Test Risk and its Exact Solution for Weak FeaturesCode0
The Complexity of Sequential Prediction in Dynamical Systems—0
Sharp Rates in Dependent Learning Theory: Avoiding Sample Size Deflation for the Square Loss—0
Estimating the Local Learning Coefficient at ScaleCode0
A call for embodied AI—0
Understanding What Affects the Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence—0
Learning to Understand: Identifying Interactions via the Möbius Transform—0
Credal Learning Theory—0
Information Leakage Detection through Approximate Bayes-optimal PredictionCode0
The twin peaks of learning neural networks—0
Hallucination is Inevitable: An Innate Limitation of Large Language Models—0
A comprehensive review of Quantum Machine Learning: from NISQ to Fault Tolerance—0
Stabilizing Sharpness-aware Minimization Through A Simple Renormalization StrategyCode0
A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Models—0
Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation—0
Statistical learning theory and Occam's razor: The core argument—0
Quantum Algorithms for the Pathwise Lasso—0
Reasoning with random sets: An agenda for the future—0
DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations—0
Coordination of Damping Controllers: A Novel Data-Informed Approach for Adaptability—0
Adaptive Parameter Selection for Kernel Ridge Regression—0
LSTSVR-PI: Least square twin support vector regression with privileged information—0
Optimal Sample Complexity of Contrastive Learning—0
Impact of Data Augmentation on QCNNs—0
When Is Inductive Inference Possible?—0
Applying statistical learning theory to deep learning—0
Stability and L2-penalty in Model Averaging—0
Information-theoretic generalization bounds for learning from quantum data—0
Generative learning for nonlinear dynamics—0
Autonomous Learning of Generative Models with Chemical Reaction Network Ensembles—0
Applications of the Theory of Aggregated Markov Processes in Stochastic Learning Theory—0
The Bayesian Stability Zoo—0
Lifting the Veil: Unlocking the Power of Depth in Q-learning—0
On kernel-based statistical learning in the mean field limit—0
Bi-discriminator Domain Adversarial Neural Networks with Class-Level Gradient AlignmentCode0
An Online Learning Theory of Brokerage—0
Dynamical versus Bayesian Phase Transitions in a Toy Model of Superposition—0
Constructive Large Language Models Alignment with Diverse Feedback—0
SPADE: Sparsity-Guided Debugging for Deep Neural NetworksCode0
Learnable Extended Activation Function (LEAF) for Deep Neural NetworksCode0
On Continuity of Robust and Accurate Classifiers—0
Sharp Generalization of Transductive Learning: A Transductive Local Rademacher Complexity Approach—0
Learning to Abstain From Uninformative Data—0
On the Asymptotic Learning Curves of Kernel Ridge Regression under Power-law Decay—0
Statistical Complexity of Quantum Learning—0
Striking a Balance: An Optimal Mechanism Design for Heterogenous Differentially Private Data Acquisition for Logistic Regression—0
Exploring and Learning in Sparse Linear MDPs without Computationally Intractable Oracles—0
Contrastive Learning as Kernel Approximation—0
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