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Learning Theory

Learning theory

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Showing 601–650 of 852 papers

TitleStatusHype
Striking a Balance: An Optimal Mechanism Design for Heterogenous Differentially Private Data Acquisition for Logistic Regression—0
Structural Return Maximization for Reinforcement Learning—0
Structure of Artificial Neural Networks -- Empirical Investigations—0
Subjectivity Learning Theory towards Artificial General Intelligence—0
Supervised learning with probabilistic morphisms and kernel mean embeddings—0
Survey & Experiment: Towards the Learning Accuracy—0
Survey on Fair Reinforcement Learning: Theory and Practice—0
Sustainable AI: Mathematical Foundations of Spiking Neural Networks—0
Symphony of high-dimensional brain—0
Synthesizing Machine Learning Programs with PAC Guarantees via Statistical Sketching—0
Task Relatedness-Based Generalization Bounds for Meta Learning—0
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning—0
Reconstructing decision trees—0
Testing k-Monotonicity—0
Testing Noise Assumptions of Learning Algorithms—0
The ART of Transfer Learning: An Adaptive and Robust Pipeline—0
The Bayesian Stability Zoo—0
The Blessing of Reasoning: LLM-Based Contrastive Explanations in Black-Box Recommender Systems—0
The Complexity of Sequential Prediction in Dynamical Systems—0
The Dimension of Self-Directed Learning—0
The Emergence of Grammar through Reinforcement Learning—0
The Fourier Transform of Poisson Multinomial Distributions and its Algorithmic Applications—0
The Frechet Distance of training and test distribution predicts the generalization gap—0
The free energy principle for action and perception: A mathematical review—0
The Landscape of the Planted Clique Problem: Dense subgraphs and the Overlap Gap Property—0
The Last-Iterate Convergence Rate of Optimistic Mirror Descent in Stochastic Variational Inequalities—0
The Learnability of Unknown Quantum Measurements—0
The Mismatch Principle: The Generalized Lasso Under Large Model Uncertainties—0
The Modern Mathematics of Deep Learning—0
The no-free-lunch theorems of supervised learning—0
The NTK Adversary: An Approach to Adversarial Attacks without any Model Access—0
Theoretical Guarantees for Domain Adaptation with Hierarchical Optimal Transport—0
Theoretical Understandings of Product Embedding for E-commerce Machine Learning—0
Distribution Free Uncertainty for the Minimum Norm Solution of Over-parameterized Linear Regression—0
The Principles of Deep Learning Theory—0
Type-II Saddles and Probabilistic Stability of Stochastic Gradient Descent—0
The Pseudo-Dimension of Contracts—0
The Sample Complexity of Smooth Boosting and the Tightness of the Hardcore Theorem—0
The Sampling-and-Learning Framework: A Statistical View of Evolutionary Algorithms—0
The Shaped Transformer: Attention Models in the Infinite Depth-and-Width Limit—0
The Topology of Statistical Verifiability—0
The Trade-offs of Domain Adaptation for Neural Language Models—0
The twin peaks of learning neural networks—0
The Universality Lens: Why Even Highly Over-Parametrized Models Learn Well—0
The VIP Gallery for Video Processing Education—0
The wisdom of networks: A general adaptation and learning mechanism of complex systems: The network core triggers fast responses to known stimuli; innovations require the slow network periphery and are encoded by core-remodeling—0
Why does Throwing Away Data Improve Worst-Group Error?—0
Tighter Problem-Dependent Regret Bounds in Reinforcement Learning without Domain Knowledge using Value Function Bounds—0
Tight Lower Bound on the Probability of a Binomial Exceeding its Expectation—0
Too Much Information Kills Information: A Clustering Perspective—0
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