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Learning Theory

Learning theory

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Showing 401–450 of 852 papers

TitleStatusHype
Formal models of memory based on temporally-varying representations—0
Envisioning Future Deep Learning Theories: Some Basic Concepts and Characteristics—0
A cognitively driven weighted-entropy model for embedding semantic categories in hyperbolic geometry—0
Regularized Modal Regression on Markov-dependent Observations: A Theoretical Assessment—0
Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural Networks—0
Intrinisic Gradient Compression for Federated Learning—0
A Structured Dictionary Perspective on Implicit Neural RepresentationsCode1
Black-box tests for algorithmic stability—0
Mesarovician Abstract Learning Systems—0
Intrinsic Dimension, Persistent Homology and Generalization in Neural NetworksCode1
Improved Fine-Tuning by Better Leveraging Pre-Training Data—0
SpeedyIBL: A Comprehensive, Precise, and Fast Implementation of Instance-Based Learning TheoryCode0
Uniform Brackets, Containers, and Combinatorial Macbeath Regions—0
Causal Forecasting:Generalization Bounds for Autoregressive ModelsCode1
Realizable Learning is All You Need—0
Provably efficient, succinct, and precise explanations—0
Labeled sample compression schemes for complexes of oriented matroids—0
Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neuronsCode0
User-friendly introduction to PAC-Bayes bounds—0
On Optimal Interpolation In Linear RegressionCode0
Understanding Dimensional Collapse in Contrastive Self-supervised LearningCode1
Provable Hierarchy-Based Meta-Reinforcement Learning—0
Explaining generalization in deep learning: progress and fundamental limits—0
Synthesizing Machine Learning Programs with PAC Guarantees via Statistical Sketching—0
PAC Synthesis of Machine Learning Programs—0
The Eigenlearning Framework: A Conservation Law Perspective on Kernel Regression and Wide Neural NetworksCode1
I Do Not Understand What I Cannot Define: Automatic Question Generation With Pedagogically-Driven Content Selection—0
Task Relatedness-Based Generalization Bounds for Meta Learning—0
Variational Inference via Resolution of Singularities—0
Improved Generalization Risk Bounds for Meta-Learning with PAC-Bayes-kl Analysis—0
Huber Additive Models for Non-stationary Time Series Analysis—0
Learning to Abstain in the Presence of Uninformative Data—0
Sequence Approximation using Feedforward Spiking Neural Network for Spatiotemporal Learning: Theory and Optimization Methods—0
The NTK Adversary: An Approach to Adversarial Attacks without any Model Access—0
Model Zoo: A Growing Brain That Learns Continually—0
Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space—0
Towards a theory of out-of-distribution learning—0
Cancer Progression as a Learning Process—0
Minimax Rates for High-Dimensional Random Tessellation Forests—0
Robust Generalization of Quadratic Neural Networks via Function Identification—0
The Trade-offs of Domain Adaptation for Neural Language Models—0
Generalized Optimization: A First Step Towards Category Theoretic Learning Theory—0
Comparing Text Representations: A Theory-Driven ApproachCode0
Continuous Homeostatic Reinforcement Learning for Self-Regulated Autonomous Agents—0
On Tilted Losses in Machine Learning: Theory and ApplicationsCode1
CIM: Class-Irrelevant Mapping for Few-Shot Classification—0
Fighting Selection Bias in Statistical Learning: Application to Visual Recognition from Biased Image Databases—0
On Empirical Risk Minimization with Dependent and Heavy-Tailed Data—0
A Bayesian Approach to (Online) Transfer Learning: Theory and Algorithms—0
Lower Bounds on the Total Variation Distance Between Mixtures of Two Gaussians—0
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