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Learning Theory

Learning theory

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Showing 351–400 of 852 papers

TitleStatusHype
Generalized Label Shift Correction via Minimum Uncertainty Principle: Theory and Algorithm—0
Generalization Properties of NAS under Activation and Skip Connection Search—0
Improving Generalization of Sequence Encoder-Decoder Networks for Inverse Imaging of Cardiac Transmembrane Potential—0
Improving Noise Robustness through Abstractions and its Impact on Machine Learning—0
Incomplete Multi-view Multi-label Classification via a Dual-level Contrastive Learning Framework—0
Inductive supervised quantum learning—0
Inference in Sparse Graphs with Pairwise Measurements and Side Information—0
Inferring Ingrained Remote Information in AC Power Flows Using Neuromorphic Modality Regime—0
A PAC Approach to Application-Specific Algorithm Selection—0
Generalization Properties of hyper-RKHS and its Applications—0
Information Science Principles of Machine Learning: A Causal Chain Meta-Framework Based on Formalized Information Mapping—0
Information-Theoretic Analysis of Minimax Excess Risk—0
Information-theoretic generalization bounds for learning from quantum data—0
Information Theoretic Guarantees for Empirical Risk Minimization with Applications to Model Selection and Large-Scale Optimization—0
Generalization In Multi-Objective Machine Learning—0
Integrated analysis of the urban water-electricity demand nexus in the Midwestern United States—0
Interplay between depth of neural networks and locality of target functions—0
Analyzing Data Selection Techniques with Tools from the Theory of Information Losses—0
Comparative Learning: A Sample Complexity Theory for Two Hypothesis Classes—0
Intrinisic Gradient Compression for Federated Learning—0
Generalization Error Bounds Via Rényi-, f-Divergences and Maximal Leakage—0
Collaborative prediction with expert advice—0
Another Look at DWD: Thrifty Algorithm and Bayes Risk Consistency in RKHS—0
A Learning Theoretic Perspective on Local Explainability—0
Generalization Error Bounds for Noisy, Iterative Algorithms—0
Generalization Error Bounds for Learning under Censored Feedback—0
Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework—0
Is Transductive Learning Equivalent to PAC Learning?—0
Just Mix Once: Worst-group Generalization by Group Interpolation—0
Kernel-Based Distributed Q-Learning: A Scalable Reinforcement Learning Approach for Dynamic Treatment Regimes—0
Generalization Error Analysis for Sparse Mixture-of-Experts: A Preliminary Study—0
CODA: A COst-efficient Test-time Domain Adaptation Mechanism for HAR—0
A Note on the Chernoff Bound for Random Variables in the Unit Interval—0
Knowledge Graph Embedding: A Probabilistic Perspective and Generalization Bounds—0
Labeled sample compression schemes for complexes of oriented matroids—0
Large Language Models at Work in China's Labor Market—0
Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints—0
Leaky Nets: Recovering Embedded Neural Network Models and Inputs through Simple Power and Timing Side-Channels -- Attacks and Defenses—0
Transductive Learning Is Compact—0
Generalization Bounds in Hybrid Quantum-Classical Machine Learning Models—0
Coarse-Refinement Dilemma: On Generalization Bounds for Data Clustering—0
Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers—0
Generalization bounds for learning under graph-dependence: A survey—0
Generalization Bounds for Gradient Methods via Discrete and Continuous Prior—0
CIM: Class-Irrelevant Mapping for Few-Shot Classification—0
A Note on High-Probability versus In-Expectation Guarantees of Generalization Bounds in Machine Learning—0
Agnostic Process Tomography—0
Learning circuits with few negations—0
Generalization and Expressivity for Deep Nets—0
Generalising realisability in statistical learning theory under epistemic uncertainty—0
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