SOTAVerified

Learning Theory

Learning theory

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 852 papers

TitleStatusHype
An Active Learning Framework for Constructing High-fidelity Mobility Maps—0
An Adaptive Clipping Approach for Proximal Policy Optimization—0
An Algorithm-Centered Approach To Model Streaming Data—0
An Algorithmic Perspective on Imitation Learning—0
Analyzing Upper Bounds on Mean Absolute Errors for Deep Neural Network Based Vector-to-Vector Regression—0
Adversarial Robustness is at Odds with Lazy Training—0
An Approach to One-Bit Compressed Sensing Based on Probably Approximately Correct Learning Theory—0
An Asymptotic Equation Linking WAIC and WBIC in Singular Models—0
1-bit Matrix Completion: PAC-Bayesian Analysis of a Variational Approximation—0
An efficient high-probability algorithm for Linear Bandits—0
An Entropy-Based Model for Hierarchical Learning—0
A Formal Proof of PAC Learnability for Decision Stumps—0
Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation—0
A MapReduce based distributed SVM algorithm for binary classification—0
Adaptive Stopping Rule for Kernel-based Gradient Descent Algorithms—0
A Characterization of Multiclass Learnability—0
A Linear Theory of Multi-Winner Voting—0
Algorithmic statistics, prediction and machine learning—0
Adaptive Parameter Selection for Kernel Ridge Regression—0
A Theory of Formal Synthesis via Inductive Learning—0
Algorithmic Stability and Uniform Generalization—0
Algorithmic learning of probability distributions from random data in the limit—0
A Characterization of List Learnability—0
A Bayesian Approach to (Online) Transfer Learning: Theory and Algorithms—0
Approximability and Generalisation—0
A learning theory for quantum photonic processors and beyond—0
A Systems Theory of Transfer Learning—0
A Temporal Difference Reinforcement Learning Theory of Emotion: unifying emotion, cognition and adaptive behavior—0
A Theory of Learning Unified Model via Knowledge Integration from Label Space Varying Domains—0
Approximation in L^p(μ) with deep ReLU neural networks—0
A Learning Theory in Linear Systems under Compositional Models—0
Adaptive Frequency Band Selection for Accurate and Fast Positioning utilizing SOPs—0
A Reinforcement Learning Theory for Homeostatic Regulation—0
Barren Plateaus in Variational Quantum Computing—0
A Revision of Neural Tangent Kernel-based Approaches for Neural Networks—0
Applying statistical learning theory to deep learning—0
A Simple and General Debiased Machine Learning Theorem with Finite Sample Guarantees—0
Optimal Approximations Made Easy—0
Associative Memory in Iterated Overparameterized Sigmoid Autoencoders—0
A Statistical Learning Based System for Fake Website Detection—0
A Statistical Learning Theory Framework for Supervised Pattern Discovery—0
A Machine Learning Theory Perspective on Strategic Litigation—0
Applications of the Theory of Aggregated Markov Processes in Stochastic Learning Theory—0
On the Existence of Simpler Machine Learning Models—0
A Sufficient Statistics Construction of Bayesian Nonparametric Exponential Family Conjugate Models—0
Tight Bounds on the Hardness of Learning Simple Nonparametric Mixtures—0
Unsupervised parameter selection for denoising with the elastic net—0
A Survey of Quantum Learning Theory—0
A Survey on Optimal Transport for Machine Learning: Theory and Applications—0
A PAC Approach to Application-Specific Algorithm Selection—0
Show:102550
← PrevPage 2 of 18Next →

No leaderboard results yet.