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Learning Theory

Learning theory

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Showing 101–150 of 852 papers

TitleStatusHype
A Systems Theory of Transfer Learning—0
A Temporal Difference Reinforcement Learning Theory of Emotion: unifying emotion, cognition and adaptive behavior—0
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
An Algorithm-Centered Approach To Model Streaming Data—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
Analyzing Upper Bounds on Mean Absolute Errors for Deep Neural Network Based Vector-to-Vector Regression—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
Unsupervised parameter selection for denoising with the elastic net—0
Bayesian image segmentations by Potts prior and loopy belief propagation—0
An efficient high-probability algorithm for Linear Bandits—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
A PAC Approach to Application-Specific Algorithm Selection—0
Another Look at DWD: Thrifty Algorithm and Bayes Risk Consistency in RKHS—0
A Learning Theoretic Perspective on Local Explainability—0
A Note on the Chernoff Bound for Random Variables in the Unit Interval—0
A Note on High-Probability versus In-Expectation Guarantees of Generalization Bounds in Machine Learning—0
Agnostic Process Tomography—0
An Optimal Transport View on Generalization—0
A Convenient Infinite Dimensional Framework for Generative Adversarial Learning—0
Accelerating Federated Edge Learning via Optimized Probabilistic Device Scheduling—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
Cancer Progression as a Learning Process—0
An Online Learning Theory of Brokerage—0
Bridging the Gap Between Approximation and Learning via Optimal Approximation by ReLU MLPs of Maximal Regularity—0
Bounding Embeddings of VC Classes into Maximum Classes—0
Maximum-Likelihood Quantum State Tomography by Soft-Bayes—0
An Optimal Elimination Algorithm for Learning a Best Arm—0
A General Framework for Distributed Inference with Uncertain Models—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
A General Control-Theoretic Approach for Reinforcement Learning: Theory and Algorithms—0
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