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Learning Theory

Learning theory

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Showing 751–800 of 852 papers

TitleStatusHype
On Reject and Refine Options in Multicategory Classification—0
Resolving the paradox of evolvability with learning theory: How evolution learns to improve evolvability on rugged fitness landscapes—0
Without-Replacement Sampling for Stochastic Gradient Methods—0
Error analysis of regularized least-square regression with Fredholm kernel—0
Using Empirical Covariance Matrix in Enhancing Prediction Accuracy of Linear Models with Missing Information—0
Learning-Theoretic Foundations of Algorithm Configuration for Combinatorial Partitioning Problems—0
Statistical Learning Theory Approach for Data Classification with l-diversity—0
Phase Retrieval Meets Statistical Learning Theory: A Flexible Convex Relaxation—0
On statistical learning via the lens of compression—0
An efficient high-probability algorithm for Linear Bandits—0
New Steps on the Exact Learning of CNF—0
Machine Learning with Guarantees using Descriptive Complexity and SMT Solvers—0
Stealing Machine Learning Models via Prediction APIsCode0
Testing k-Monotonicity—0
Efficient Training for Positive Unlabeled LearningCode0
Uniform Generalization, Concentration, and Adaptive Learning—0
A General Characterization of the Statistical Query Complexity—0
Distribution-dependent concentration inequalities for tighter generalization bounds—0
Optimal Quantum Sample Complexity of Learning Algorithms—0
Sample Complexity of Automated Mechanism Design—0
Learning Moore Machines from Input-Output TracesCode0
Leveraging Over Priors for Boosting Control of Prosthetic Hands—0
Inductive supervised quantum learning—0
Deep Learning without Poor Local MinimaCode0
On the Sampling Strategy for Evaluation of Spectral-spatial Methods in Hyperspectral Image Classification—0
Learning theory estimates with observations from general stationary stochastic processes—0
Learning Possibilistic Logic Theories from Default Rules—0
1-bit Matrix Completion: PAC-Bayesian Analysis of a Variational Approximation—0
Collaborative prediction with expert advice—0
Without-Replacement Sampling for Stochastic Gradient Methods: Convergence Results and Application to Distributed Optimization—0
Parametric Prediction from Parametric Agents—0
A Model of Selective Advantage for the Efficient Inference of Cancer Clonal Evolution—0
A Sufficient Statistics Construction of Bayesian Nonparametric Exponential Family Conjugate Models—0
Revisiting Differentially Private Regression: Lessons From Learning Theory and their Consequences—0
On the Pseudo-Dimension of Nearly Optimal Auctions—0
Algorithmic Stability and Uniform Generalization—0
Learning Theory and Algorithms for Forecasting Non-stationary Time Series—0
A PAC Approach to Application-Specific Algorithm Selection—0
The Fourier Transform of Poisson Multinomial Distributions and its Algorithmic Applications—0
Fast Collaborative Filtering from Implicit Feedback with Provable Guarantees—0
On the Robustness of Regularized Pairwise Learning Methods Based on Kernels—0
Algorithmic statistics, prediction and machine learning—0
Another Look at DWD: Thrifty Algorithm and Bayes Risk Consistency in RKHS—0
2 Notes on Classes with Vapnik-Chervonenkis Dimension 1—0
Kernel Methods for Linear Discrete-Time Equations—0
Fast rates in statistical and online learning—0
Scalable Large-Margin Structured Learning: Theory and Algorithms—0
What can ecosystems learn? Expanding evolutionary ecology with learning theory—0
A Nearly Optimal and Agnostic Algorithm for Properly Learning a Mixture of k Gaussians, for any Constant k—0
A Theory of Formal Synthesis via Inductive Learning—0
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