Browse State-of-the-Art › Learning Theory › Papers, page 6
Learning Theory
Papers archive 2025-07-28
archive papers tagged: 852 · with a code link: 140 · where Syntology ran a sample: 44 (37 with a run with no instrument failure, 7 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (44 of 852 tagged: 37 with a run with no instrument failure, 7 where every run was a failure of Syntology's instrument)
Page 6 of 9: papers 501 to 600 of 852, in archive order: by repositories listed in the archive (most first), then newest first, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers that list no repository come after every paper that lists one.
Papers without a page here are shown as plain text. A Syntology line reads “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the figure “where Syntology's instrument failed” counts failures of Syntology's instrument, not of the code. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code); hover it for the repositories the samples that ran came from. Abstracts are on each paper's page.
-
The Trade-offs of Domain Adaptation for Neural Language Models21 Sep 2021 0 repositories listed
-
Generalized Optimization: A First Step Towards Category Theoretic Learning Theory20 Sep 2021 0 repositories listed
-
Continuous Homeostatic Reinforcement Learning for Self-Regulated Autonomous Agents14 Sep 2021 0 repositories listed
-
CIM: Class-Irrelevant Mapping for Few-Shot Classification7 Sep 2021 0 repositories listed
-
On Empirical Risk Minimization with Dependent and Heavy-Tailed Data6 Sep 2021 0 repositories listed
-
Fighting Selection Bias in Statistical Learning: Application to Visual Recognition from Biased Image Databases6 Sep 2021 0 repositories listed
-
A Bayesian Approach to (Online) Transfer Learning: Theory and Algorithms3 Sep 2021 0 repositories listed
-
Lower Bounds on the Total Variation Distance Between Mixtures of Two Gaussians2 Sep 2021 0 repositories listed
-
Under-bagging Nearest Neighbors for Imbalanced Classification1 Sep 2021 0 repositories listed
-
Convergence Rates for Learning Linear Operators from Noisy Data27 Aug 2021 0 repositories listed
-
Adversarial Robustness of Deep Learning: Theory, Algorithms, and Applications24 Aug 2021 0 repositories listed
-
Primal and Dual Combinatorial Dimensions23 Aug 2021 0 repositories listed
-
Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation16 Aug 2021 0 repositories listed
-
Empirical Risk Minimization for Time Series: Nonparametric Performance Bounds for Prediction11 Aug 2021 0 repositories listed
-
Unified Regularity Measures for Sample-wise Learning and Generalization9 Aug 2021 0 repositories listed
-
Path classification by stochastic linear recurrent neural networks6 Aug 2021 0 repositories listed
-
Characterizing the Generalization Error of Gibbs Algorithm with Symmetrized KL information28 Jul 2021 0 repositories listed
-
Accelerating Federated Edge Learning via Optimized Probabilistic Device Scheduling24 Jul 2021 0 repositories listed
-
Towards Explaining Adversarial Examples Phenomenon in Artificial Neural Networks22 Jul 2021 0 repositories listed
-
An induction proof of the backpropagation algorithm in matrix notation20 Jul 2021 0 repositories listed
-
Improved Learning Rates for Stochastic Optimization: Two Theoretical Viewpoints19 Jul 2021 0 repositories listed
-
On the Variance of the Fisher Information for Deep Learning9 Jul 2021 0 repositories listed
-
The Last-Iterate Convergence Rate of Optimistic Mirror Descent in Stochastic Variational Inequalities5 Jul 2021 0 repositories listed
-
A Systems Theory of Transfer Learning2 Jul 2021 0 repositories listed
-
The Principles of Deep Learning Theory18 Jun 2021 0 repositories listed
-
GBHT: Gradient Boosting Histogram Transform for Density Estimation10 Jun 2021 0 repositories listed
-
Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms9 Jun 2021 0 repositories listed
-
Encoding-dependent generalization bounds for parametrized quantum circuits7 Jun 2021 0 repositories listed
-
Towards an Understanding of Benign Overfitting in Neural Networks6 Jun 2021 0 repositories listed
-
Robust Model Selection and Nearly-Proper Learning for GMMs5 Jun 2021 0 repositories listed
-
A Survey on Optimal Transport for Machine Learning: Theory and Applications3 Jun 2021 0 repositories listed
-
Post-mortem on a deep learning contest: a Simpson's paradox and the complementary roles of scale metrics versus shape metrics1 Jun 2021 0 repositories listed
-
A Simple and General Debiased Machine Learning Theorem with Finite Sample Guarantees31 May 2021 0 repositories listed
-
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning31 May 2021 0 repositories listed
-
Learning Union of Integer Hypercubes with Queries (Technical Report)27 May 2021 0 repositories listed
-
Yes We Care! -- Certification for Machine Learning Methods through the Care Label Framework21 May 2021 0 repositories listed
-
The Modern Mathematics of Deep Learning9 May 2021 0 repositories listed
-
Quantum Machine Learning For Classical Data8 May 2021 0 repositories listed
-
Regret-Optimal LQR Control4 May 2021 0 repositories listed
-
Robust Kernel-based Distribution Regression21 Apr 2021 0 repositories listed
-
Learning Description Logic Ontologies. Five Approaches. Where Do They Stand?2 Apr 2021 0 repositories listed
-
Why is AI hard and Physics simple?31 Mar 2021 0 repositories listed
-
Understanding the role of importance weighting for deep learning28 Mar 2021 0 repositories listed
-
Leaky Nets: Recovering Embedded Neural Network Models and Inputs through Simple Power and Timing Side-Channels -- Attacks and Defenses26 Mar 2021 0 repositories listed
-
On the Complexity of Learning Description Logic Ontologies25 Mar 2021 0 repositories listed
-
Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning25 Mar 2021 0 repositories listed
-
A deep learning theory for neural networks grounded in physics18 Mar 2021 0 repositories listed
-
On the Impact of Applying Machine Learning in the Decision-Making of Self-Adaptive Systems18 Mar 2021 0 repositories listed
-
Constrained Learning with Non-Convex Losses8 Mar 2021 0 repositories listed
-
Learning Prediction Intervals for Regression: Generalization and Calibration26 Feb 2021 0 repositories listed
-
Theoretical Understandings of Product Embedding for E-commerce Machine Learning24 Feb 2021 0 repositories listed
-
Kernel Ridge Riesz Representers: Generalization, Mis-specification, and the Counterfactual Effective Dimension22 Feb 2021 0 repositories listed
-
On the robustness of randomized classifiers to adversarial examples22 Feb 2021 0 repositories listed
-
KAM Theory Meets Statistical Learning Theory: Hamiltonian Neural Networks with Non-Zero Training Loss22 Feb 2021 0 repositories listed
-
Double-descent curves in neural networks: a new perspective using Gaussian processes14 Feb 2021 0 repositories listed
-
Private learning implies quantum stability14 Feb 2021 0 repositories listed
-
Distribution Free Uncertainty for the Minimum Norm Solution of Over-parameterized Linear Regression14 Feb 2021 0 repositories listed
-
Local and Global Uniform Convexity Conditions9 Feb 2021 0 repositories listed
-
On the Hardness of PAC-learning Stabilizer States with Noise9 Feb 2021 0 repositories listed
-
Effects of quantum resources on the statistical complexity of quantum circuits5 Feb 2021 0 repositories listed
-
Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels5 Feb 2021 0 repositories listed
-
Query Complexity of Least Absolute Deviation Regression via Robust Uniform Convergence3 Feb 2021 0 repositories listed
-
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation4 Jan 2021 0 repositories listed
-
f-Domain-Adversarial Learning: Theory and Algorithms for Unsupervised Domain Adaptation with Neural Networks1 Jan 2021 0 repositories listed
-
Illuminating Dark Knowledge via Random Matrix Ensembles1 Jan 2021 0 repositories listed
-
Mirror Sample Based Distribution Alignment for Unsupervised Domain Adaption1 Jan 2021 0 repositories listed
-
Maximum-Likelihood Quantum State Tomography by Soft-Bayes31 Dec 2020 0 repositories listed
-
Continuity of Generalized Entropy and Statistical Learning31 Dec 2020 0 repositories listed
-
Risk Guarantees for End-to-End Prediction and Optimization Processes30 Dec 2020 0 repositories listed
-
The VIP Gallery for Video Processing Education29 Dec 2020 0 repositories listed
-
Blackwell Online Learning for Markov Decision Processes28 Dec 2020 0 repositories listed
-
A Tight Lower Bound for Uniformly Stable Algorithms24 Dec 2020 0 repositories listed
-
Recent advances in deep learning theory20 Dec 2020 0 repositories listed
-
Near-Optimal Statistical Query Hardness of Learning Halfspaces with Massart Noise17 Dec 2020 0 repositories listed
-
Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning17 Dec 2020 0 repositories listed
-
Reconstructing decision trees16 Dec 2020 0 repositories listed
-
Notes on Deep Learning Theory10 Dec 2020 0 repositories listed
-
Quantum learning algorithms imply circuit lower bounds3 Dec 2020 0 repositories listed
-
Margin-Based Transfer Bounds for Meta Learning with Deep Feature Embedding2 Dec 2020 0 repositories listed
-
On a Chatbot Navigating a User through a Concept-Based Knowledge Model1 Dec 2020 0 repositories listed
-
A Convenient Infinite Dimensional Framework for Generative Adversarial Learning24 Nov 2020 0 repositories listed
-
A General Framework for Distributed Inference with Uncertain Models20 Nov 2020 0 repositories listed
-
Chaos and Complexity from Quantum Neural Network: A study with Diffusion Metric in Machine Learning16 Nov 2020 0 repositories listed
-
Towards Optimal Problem Dependent Generalization Error Bounds in Statistical Learning Theory12 Nov 2020 0 repositories listed
-
Direction Matters: On the Implicit Bias of Stochastic Gradient Descent with Moderate Learning Rate4 Nov 2020 0 repositories listed
-
Understanding Double Descent Requires a Fine-Grained Bias-Variance Decomposition4 Nov 2020 0 repositories listed
-
Geometry Perspective Of Estimating Learning Capability Of Neural Networks3 Nov 2020 0 repositories listed
-
A Learning Theoretic Perspective on Local Explainability2 Nov 2020 0 repositories listed
-
Toward Better Generalization Bounds with Locally Elastic Stability27 Oct 2020 0 repositories listed
-
Enforcing Interpretability and its Statistical Impacts: Trade-offs between Accuracy and Interpretability26 Oct 2020 0 repositories listed
-
Regularised Least-Squares Regression with Infinite-Dimensional Output Space21 Oct 2020 0 repositories listed
-
Failures of model-dependent generalization bounds for least-norm interpolation16 Oct 2020 0 repositories listed
-
Depth-Width Trade-offs for Neural Networks via Topological Entropy15 Oct 2020 0 repositories listed
-
Learning Theory for Inferring Interaction Kernels in Second-Order Interacting Agent Systems8 Oct 2020 0 repositories listed
-
A Note on High-Probability versus In-Expectation Guarantees of Generalization Bounds in Machine Learning6 Oct 2020 0 repositories listed
-
A Framework of Learning Through Empirical Gain Maximization29 Sep 2020 0 repositories listed
-
Benign overfitting in ridge regression29 Sep 2020 0 repositories listed
-
Do Deeper Convolutional Networks Perform Better?28 Sep 2020 0 repositories listed
-
Putting Theory to Work: From Learning Bounds to Meta-Learning Algorithms28 Sep 2020 0 repositories listed
-
Generalized Leverage Score Sampling for Neural Networks21 Sep 2020 0 repositories listed