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Learning Theory

Learning theory

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Showing 351–400 of 852 papers

TitleStatusHype
Learning in Observable POMDPs, without Computationally Intractable Oracles—0
Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization—0
Straggler-Resilient Personalized Federated LearningCode0
Uncertainty Estimation in Machine Learning—0
Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rulesCode0
Generalization Bounds for Gradient Methods via Discrete and Continuous Prior—0
An Analytic Framework for Robust Training of Artificial Neural NetworksCode0
Learning ReLU networks to high uniform accuracy is intractableCode0
Learning Distributions by Generative Adversarial Networks: Approximation and Generalization—0
Why does Throwing Away Data Improve Worst-Group Error?—0
Survey on Fair Reinforcement Learning: Theory and Practice—0
A Note on the Chernoff Bound for Random Variables in the Unit Interval—0
Detailed Balanced Chemical Reaction Networks as Generalized Boltzmann Machines—0
Universal CachingCode0
Investigating Generalization by Controlling Normalized MarginCode0
Intrinsic Gradient Compression for Scalable and Efficient Federated Learning—0
Adaptive hybrid activation function for deep neural networksCode0
Learning Theory of Mind via Dynamic Traits Attribution—0
Learning from many trajectories—0
Tight Bounds on the Hardness of Learning Simple Nonparametric Mixtures—0
Knowledge Distillation: Bad Models Can Be Good Role Models—0
Learning Losses for Strategic Classification—0
Generalization bounds for learning under graph-dependence: A survey—0
Learning from Label Proportions with Instance-wise ConsistencyCode0
Learning curves for the multi-class teacher-student perceptronCode0
Optimal Rejection Function Meets Character Recognition Tasks—0
Approximability and Generalisation—0
Don't fear the unlabelled: safe semi-supervised learning via simple debiasingCode3
PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification TasksCode1
Rate-Distortion Theoretic Generalization Bounds for Stochastic Learning Algorithms—0
A Characterization of Multiclass Learnability—0
Contrasting random and learned features in deep Bayesian linear regression—0
Towards a unified view of unsupervised non-local methods for image denoising: the NL-Ridge approachCode0
Generalized Label Shift Correction via Minimum Uncertainty Principle: Theory and Algorithm—0
Towards Unsupervised Domain Adaptation via Domain-Transformer—0
Information-Theoretic Analysis of Minimax Excess Risk—0
Artificial Intelligence and Spontaneous Collusion—0
Minimax Regret Optimization for Robust Machine Learning under Distribution Shift—0
Deep Learning in Random Neural Fields: Numerical Experiments via Neural Tangent KernelCode0
Trust in AI: Interpretability is not necessary or sufficient, while black-box interaction is necessary and sufficient—0
Smoothed Online Learning is as Easy as Statistical Learning—0
The no-free-lunch theorems of supervised learning—0
Interplay between depth of neural networks and locality of target functions—0
Limitation of Characterizing Implicit Regularization by Data-independent Functions—0
Universal Online Learning with Unbounded Losses: Memory Is All You Need—0
Learning deterministic hydrodynamic equations from stochastic active particle dynamics—0
Deep Learning Optimization Theory - Trajectory Analysis of Gradient Descent—0
Understanding Few-Shot Multi-Task Representation Learning Theory—0
Universal Online Learning: an Optimistically Universal Learning Rule—0
On generalization bounds for deep networks based on loss surface implicit regularizationCode0
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