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Learning Theory

Learning theory

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Showing 251–300 of 852 papers

TitleStatusHype
Towards Low-Barrier Cybersecurity Research and Education for Industrial Control Systems—0
Improved learning theory for kernel distribution regression with two-stage samplingCode0
Sample Complexity of Robust Learning against Evasion Attacks—0
Learning in Cooperative Multiagent Systems Using Cognitive and Machine ModelsCode0
Large Language Models at Work in China's Labor Market—0
Globe230k: A Benchmark Dense-Pixel Annotation Dataset for Global Land Cover Mapping—0
A deep deformable residual learning network for SAR images segmentation—0
When Deep Learning Meets Multi-Task Learning in SAR ATR: Simultaneous Target Recognition and Segmentation—0
A Strategic Framework for Optimal Decisions in Football 1-vs-1 Shot-Taking Situations: An Integrated Approach of Machine Learning, Theory-Based Modeling, and Game TheoryCode0
Learning invariant representations of time-homogeneous stochastic dynamical systemsCode0
Enhancing Pattern Classification in Support Vector Machines through Matrix Formulation—0
Generalization within in silico screening—0
Credit Assignment: Challenges and Opportunities in Developing Human-like AI Agents—0
Properly Learning Decision Trees with Queries Is NP-Hard—0
Learning Theory of Distribution Regression with Neural Networks—0
A Combinatorial Characterization of Supervised Online Learnability—0
Stability and Generalization of Stochastic Compositional Gradient Descent Algorithms—0
Transgressing the boundaries: towards a rigorous understanding of deep learning and its (non-)robustness—0
Neural Hilbert Ladders: Multi-Layer Neural Networks in Function Space—0
The Shaped Transformer: Attention Models in the Infinite Depth-and-Width Limit—0
Exponential separations between classical and quantum learners—0
Graph Neural Networks Provably Benefit from Structural Information: A Feature Learning Perspective—0
A primal-dual data-driven method for computational optical imaging with a photonic lanternCode0
Exact Count of Boundary Pieces of ReLU Classifiers: Towards the Proper Complexity Measure for Classification—0
Learning to Defend by Attacking (and Vice-Versa): Transfer of Learning in Cybersecurity Games—0
On the Sample Complexity of Imitation Learning for Smoothed Model Predictive Control—0
Improving Energy Conserving Descent for Machine Learning: Theory and PracticeCode0
Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability—0
Benign Overfitting in Deep Neural Networks under Lazy Training—0
Embedding Inequalities for Barron-type Spaces—0
Improving Generalization of Complex Models under Unbounded Loss Using PAC-Bayes Bounds—0
How many samples are needed to leverage smoothness?—0
Data-driven Mixed Integer Optimization through Probabilistic Multi-variable Branching—0
Uniform-in-Time Wasserstein Stability Bounds for (Noisy) Stochastic Gradient Descent—0
How Spurious Features Are Memorized: Precise Analysis for Random and NTK FeaturesCode0
Supervised learning with probabilistic morphisms and kernel mean embeddings—0
Learnability with Time-Sharing Computational Resource Concerns—0
The ART of Transfer Learning: An Adaptive and Robust Pipeline—0
Optimal PAC Bounds Without Uniform Convergence—0
Challenges of learning multi-scale dynamics with AI weather models: Implications for stability and one solutionCode0
Depth Separation with Multilayer Mean-Field Networks—0
Bayesian Free Energy of Deep ReLU Neural Network in Overparametrized Cases—0
Type-II Saddles and Probabilistic Stability of Stochastic Gradient Descent—0
Uniform Risk Bounds for Learning with Dependent Data Sequences—0
Lower Generalization Bounds for GD and SGD in Smooth Stochastic Convex Optimization—0
Distribution-free Deviation Bounds and The Role of Domain Knowledge in Learning via Model Selection with Cross-validation Risk Estimation—0
ERUDITE: Human-in-the-Loop IoT for an Adaptive Personalized Learning System—0
Margin theory for the scenario-based approach to robust optimization in high dimension—0
Near Optimal Memory-Regret Tradeoff for Online Learning—0
Learning curves for deep structured Gaussian feature models—0
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