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Learning Theory

Learning theory

Papers

Showing 151–200 of 852 papers

TitleStatusHype
A neural network account to Kant's philosophical aesthetics—0
On the Learnability of Out-of-distribution Detection—0
Active Test-Time Adaptation: Theoretical Analyses and An AlgorithmCode1
Bayesian Inference for Consistent Predictions in Overparameterized Nonlinear RegressionCode0
Statistical Mechanics and Artificial Neural Networks: Principles, Models, and Applications—0
Causal-StoNet: Causal Inference for High-Dimensional Complex DataCode0
Generalization Error Analysis for Sparse Mixture-of-Experts: A Preliminary Study—0
CODA: A COst-efficient Test-time Domain Adaptation Mechanism for HAR—0
Robust NAS under adversarial training: benchmark, theory, and beyond—0
Conformal Predictions for Probabilistically Robust Scalable Machine Learning Classification—0
Majority-of-Three: The Simplest Optimal Learner?—0
Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic SegmentationCode1
On the Diminishing Returns of Width for Continual LearningCode0
Disentangling Resilience from Robustness: Contextual Dualism, Interactionism, and Game-Theoretic Paradigms—0
Privacy of SGD under Gaussian or Heavy-Tailed Noise: Guarantees without Gradient Clipping—0
Lotka-Volterra Model with Mutations and Generative Adversarial Networks—0
Conformal Shield: A Novel Adversarial Attack Detection Framework for Automatic Modulation Classification—0
Shapley Value Based Multi-Agent Reinforcement Learning: Theory, Method and Its Application to Energy Network—0
Adaptive time series forecasting with markovian variance switching—0
Generalising realisability in statistical learning theory under epistemic uncertainty—0
A unified framework of non-local parametric methods for image denoising—0
The Dimension of Self-Directed Learning—0
Rigor with Machine Learning from Field Theory to the Poincaré Conjecture—0
Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity MeasuresCode0
Transductive Learning Is Compact—0
Transductive Active Learning: Theory and ApplicationsCode2
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 Definitive Guide to Policy Gradients in Deep Reinforcement Learning: Theory, Algorithms and ImplementationsCode1
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
A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Models—0
Stabilizing Sharpness-aware Minimization Through A Simple Renormalization StrategyCode0
Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation—0
Quantum Algorithms for the Pathwise Lasso—0
Statistical learning theory and Occam's razor: The core argument—0
Reasoning with random sets: An agenda for the future—0
DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations—0
Harmonics of Learning: Universal Fourier Features Emerge in Invariant NetworksCode1
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
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