SOTAVerified

Learning Theory

Learning theory

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 701–750 of 852 papers

TitleStatusHype
Fighting Selection Bias in Statistical Learning: Application to Visual Recognition from Biased Image Databases—0
Weak Robust Compatibility Between Learning Algorithms and Counterfactual Explanation Generation Algorithms—0
What can ecosystems learn? Expanding evolutionary ecology with learning theory—0
What can we Learn by Predicting Accuracy?—0
What Makes Treatment Effects Identifiable? Characterizations and Estimators Beyond Unconfoundedness—0
When Deep Learning Meets Multi-Task Learning in SAR ATR: Simultaneous Target Recognition and Segmentation—0
When is there a Representer Theorem? Reflexive Banach spaces—0
Why is AI hard and Physics simple?—0
Without-Replacement Sampling for Stochastic Gradient Methods: Convergence Results and Application to Distributed Optimization—0
Without-Replacement Sampling for Stochastic Gradient Methods—0
10 Years of Fair Representations: Challenges and Opportunities—0
Yes We Care! -- Certification for Machine Learning Methods through the Care Label Framework—0
Graph-based Discriminators: Sample Complexity and Expressiveness—0
1-bit Matrix Completion: PAC-Bayesian Analysis of a Variational Approximation—0
2 Notes on Classes with Vapnik-Chervonenkis Dimension 1—0
A Bayesian Approach to (Online) Transfer Learning: Theory and Algorithms—0
A Bennett Inequality for the Missing Mass—0
A call for embodied AI—0
Accelerating Federated Edge Learning via Optimized Probabilistic Device Scheduling—0
A Characterization of List Learnability—0
A Characterization of Multiclass Learnability—0
A Closer Look at the Learnability of Out-of-Distribution (OOD) Detection—0
A cognitively driven weighted-entropy model for embedding semantic categories in hyperbolic geometry—0
A Combinatorial Characterization of Supervised Online Learnability—0
A Contextual Online Learning Theory of Brokerage—0
A Convenient Infinite Dimensional Framework for Generative Adversarial Learning—0
Adaptive Frequency Band Selection for Accurate and Fast Positioning utilizing SOPs—0
Adaptive Parameter Selection for Kernel Ridge Regression—0
Adaptive Stopping Rule for Kernel-based Gradient Descent Algorithms—0
Adaptive time series forecasting with markovian variance switching—0
A deep deformable residual learning network for SAR images segmentation—0
A deep learning theory for neural networks grounded in physics—0
A Denoising Loss Bound for Neural Network based Universal Discrete Denoisers—0
Adversarial Robustness is at Odds with Lazy Training—0
Adversarial Robustness of Deep Learning: Theory, Algorithms, and Applications—0
Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data—0
A Formal Proof of PAC Learnability for Decision Stumps—0
A Framework of Learning Through Empirical Gain Maximization—0
A General Characterization of the Statistical Query Complexity—0
A General Control-Theoretic Approach for Reinforcement Learning: Theory and Algorithms—0
A General Framework for Distributed Inference with Uncertain Models—0
Agnostic Process Tomography—0
A Learning Theoretic Perspective on Local Explainability—0
Unsupervised parameter selection for denoising with the elastic net—0
A learning theory for quantum photonic processors and beyond—0
A Learning Theory in Linear Systems under Compositional Models—0
Algorithmic learning of probability distributions from random data in the limit—0
Algorithmic Stability and Uniform Generalization—0
Algorithmic statistics, prediction and machine learning—0
A Linear Theory of Multi-Winner Voting—0
Show:102550
← PrevPage 15 of 18Next →

No leaderboard results yet.