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Learning Theory

Learning theory

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Showing 801–850 of 852 papers

TitleStatusHype
A Theory of Formal Synthesis via Inductive Learning—0
A Theory of Learning Unified Model via Knowledge Integration from Label Space Varying Domains—0
A Tight Excess Risk Bound via a Unified PAC-Bayesian-Rademacher-Shtarkov-MDL Complexity—0
A Tight Lower Bound for Uniformly Stable Algorithms—0
Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation—0
Attribute-Efficient PAC Learning of Sparse Halfspaces with Constant Malicious Noise Rate—0
A Unified Approach to Universal Prediction: Generalized Upper and Lower Bounds—0
A unified framework of non-local parametric methods for image denoising—0
Automatically Score Tissue Images Like a Pathologist by Transfer Learning—0
Autonomous Learning of Generative Models with Chemical Reaction Network Ensembles—0
Improving Generalization of Complex Models under Unbounded Loss Using PAC-Bayes Bounds—0
Bagging is an Optimal PAC Learner—0
Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization—0
Generalization within in silico screening—0
Bayesian Free Energy of Deep ReLU Neural Network in Overparametrized Cases—0
Bayesian image segmentations by Potts prior and loopy belief propagation—0
Bayesian Interpolation with Deep Linear Networks—0
Benign Overfitting in Deep Neural Networks under Lazy Training—0
Benign overfitting in ridge regression—0
Benign, Tempered, or Catastrophic: A Taxonomy of Overfitting—0
Better Depth-Width Trade-offs for Neural Networks through the lens of Dynamical Systems—0
Beyond Discrepancy: A Closer Look at the Theory of Distribution Shift—0
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design—0
Beyond the Low-Degree Algorithm: Mixtures of Subcubes and Their Applications—0
Binary Classification with Classical Instances and Quantum Labels—0
Binary Excess Risk for Smooth Convex Surrogates—0
Binary Iterative Hard Thresholding Converges with Optimal Number of Measurements for 1-Bit Compressed Sensing—0
Black-box tests for algorithmic stability—0
Blackwell Online Learning for Markov Decision Processes—0
Borsuk-Ulam and Replicable Learning of Large-Margin Halfspaces—0
Bounding Embeddings of VC Classes into Maximum Classes—0
Bridging the Gap Between Approximation and Learning via Optimal Approximation by ReLU MLPs of Maximal Regularity—0
Cancer Progression as a Learning Process—0
Chaos and Complexity from Quantum Neural Network: A study with Diffusion Metric in Machine Learning—0
Characterizing the Generalization Error of Gibbs Algorithm with Symmetrized KL information—0
CIM: Class-Irrelevant Mapping for Few-Shot Classification—0
Coarse-Refinement Dilemma: On Generalization Bounds for Data Clustering—0
CODA: A COst-efficient Test-time Domain Adaptation Mechanism for HAR—0
Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework—0
Collaborative prediction with expert advice—0
Comparative Learning: A Sample Complexity Theory for Two Hypothesis Classes—0
Compression based bound for non-compressed network: unified generalization error analysis of large compressible deep neural network—0
Compression, Generalization and Learning—0
Compressive Learning for Semi-Parametric Models—0
Computabilities of Validity and Satisfiability in Probability Logics over Finite and Countable Models—0
Computable learning of natural hypothesis classes—0
A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design—0
Computing the Shattering Coefficient of Supervised Learning Algorithms—0
Conformal Predictions for Probabilistically Robust Scalable Machine Learning Classification—0
Conformal Shield: A Novel Adversarial Attack Detection Framework for Automatic Modulation Classification—0
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