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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 7 of 9: papers 601 to 700 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.
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Too Much Information Kills Information: A Clustering Perspective16 Sep 2020 0 repositories listed
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Gradient-based Competitive Learning: Theory6 Sep 2020 0 repositories listed
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Exploiting Heterogeneity in Operational Neural Networks by Synaptic Plasticity21 Aug 2020 0 repositories listed
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Optimal Approximations Made Easy20 Aug 2020 0 repositories listed
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How Powerful are Shallow Neural Networks with Bandlimited Random Weights?19 Aug 2020 0 repositories listed
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Analyzing Upper Bounds on Mean Absolute Errors for Deep Neural Network Based Vector-to-Vector Regression4 Aug 2020 0 repositories listed
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Verification of ML Systems via Reparameterization14 Jul 2020 0 repositories listed
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Reformulation of the No-Free-Lunch Theorem for Entangled Data Sets9 Jul 2020 0 repositories listed
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A Revision of Neural Tangent Kernel-based Approaches for Neural Networks2 Jul 2020 0 repositories listed
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Associative Memory in Iterated Overparameterized Sigmoid Autoencoders30 Jun 2020 0 repositories listed
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Nearest Neighbour Based Estimates of Gradients: Sharp Nonasymptotic Bounds and Applications26 Jun 2020 0 repositories listed
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Ensuring Learning Guarantees on Concept Drift Detection with Statistical Learning Theory24 Jun 2020 0 repositories listed
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Good Classifiers are Abundant in the Interpolating Regime22 Jun 2020 0 repositories listed
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An Optimal Elimination Algorithm for Learning a Best Arm20 Jun 2020 0 repositories listed
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Estimates on Learning Rates for Multi-Penalty Distribution Regression16 Jun 2020 0 repositories listed
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Logic of Machine Learning16 Jun 2020 0 repositories listed
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Why Mixup Improves the Model Performance11 Jun 2020 0 repositories listed
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Optimization Theory for ReLU Neural Networks Trained with Normalization Layers11 Jun 2020 0 repositories listed
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Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation11 Jun 2020 0 repositories listed
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Binary Classification with Classical Instances and Quantum Labels10 Jun 2020 0 repositories listed
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On the Maximum Mutual Information Capacity of Neural Architectures10 Jun 2020 0 repositories listed
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Uncertain multi-agent MILPs: A data-driven decentralized solution with probabilistic feasibility guarantees8 Jun 2020 0 repositories listed
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Unique properties of adversarially trained linear classifiers on Gaussian data6 Jun 2020 0 repositories listed
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Hierarchical robust aggregation of sales forecasts at aggregated levels in e-commerce, based on exponential smoothing and Holt's linear trend method5 Jun 2020 0 repositories listed
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On Learnability under General Stochastic Processes15 May 2020 0 repositories listed
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Learning Theory for Estimation of Animal Motion Submanifolds30 Mar 2020 0 repositories listed
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Distributed Kernel Ridge Regression with Communications27 Mar 2020 0 repositories listed
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Design-unbiased statistical learning in survey sampling25 Mar 2020 0 repositories listed
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Theoretical Analysis of Divide-and-Conquer ERM: Beyond Square Loss and RKHS9 Mar 2020 0 repositories listed
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An Active Learning Framework for Constructing High-fidelity Mobility Maps7 Mar 2020 0 repositories listed
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Better Depth-Width Trade-offs for Neural Networks through the lens of Dynamical Systems2 Mar 2020 0 repositories listed
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Contextual Search in the Presence of Adversarial Corruptions26 Feb 2020 0 repositories listed
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A Generalized Neural Tangent Kernel Analysis for Two-layer Neural Networks10 Feb 2020 0 repositories listed
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Statistical Limits of Supervised Quantum Learning28 Jan 2020 0 repositories listed
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On Learnability with Computable Learners28 Jan 2020 0 repositories listed
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Recursion, evolution and conscious self14 Jan 2020 0 repositories listed
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Adaptive Stopping Rule for Kernel-based Gradient Descent Algorithms9 Jan 2020 0 repositories listed
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Optimization for deep learning: theory and algorithms19 Dec 2019 0 repositories listed
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Realization of spatial sparseness by deep ReLU nets with massive data16 Dec 2019 0 repositories listed
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Rademacher complexity and spin glasses: A link between the replica and statistical theories of learning5 Dec 2019 0 repositories listed
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Generalization Error Bounds Via Rényi-, f-Divergences and Maximal Leakage1 Dec 2019 0 repositories listed
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Coarse-Refinement Dilemma: On Generalization Bounds for Data Clustering13 Nov 2019 0 repositories listed
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On the Complexity of Labeled Datasets13 Nov 2019 0 repositories listed
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Machine Intelligence at the Edge with Learning Centric Power Allocation12 Nov 2019 0 repositories listed
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One-shot learning and behavioral eligibility traces in sequential decision making12 Nov 2019 0 repositories listed
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Learning Internal Representations (PhD Thesis)9 Nov 2019 0 repositories listed
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On-Device Machine Learning: An Algorithms and Learning Theory Perspective2 Nov 2019 0 repositories listed
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A Formal Proof of PAC Learnability for Decision Stumps1 Nov 2019 0 repositories listed
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Risk bounds for reservoir computing30 Oct 2019 0 repositories listed
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Fast classification rates without standard margin assumptions28 Oct 2019 0 repositories listed
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Robust Model Predictive Shielding for Safe Reinforcement Learning with Stochastic Dynamics24 Oct 2019 0 repositories listed
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Compressive Learning for Semi-Parametric Models22 Oct 2019 0 repositories listed
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Building Efficient CNNs Using Depthwise Convolutional Eigen-Filters (DeCEF)21 Oct 2019 0 repositories listed
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Sharper bounds for uniformly stable algorithms17 Oct 2019 0 repositories listed
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Partial differential equation regularization for supervised machine learning3 Oct 2019 0 repositories listed
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Siamese Networks: The Tale of Two Manifolds1 Oct 2019 0 repositories listed
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Compression based bound for non-compressed network: unified generalization error analysis of large compressible deep neural network25 Sep 2019 0 repositories listed
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Knowledge Graph Embedding: A Probabilistic Perspective and Generalization Bounds25 Sep 2019 0 repositories listed
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ShardNet: One Filter Set to Rule Them All25 Sep 2019 0 repositories listed
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The Frechet Distance of training and test distribution predicts the generalization gap25 Sep 2019 0 repositories listed
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Deep Neural Networks for Choice Analysis: A Statistical Learning Theory Perspective16 Sep 2019 0 repositories listed
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On the Hardness of Robust Classification12 Sep 2019 0 repositories listed
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Non-Bayesian Social Learning with Uncertain Models9 Sep 2019 0 repositories listed
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Subjectivity Learning Theory towards Artificial General Intelligence9 Sep 2019 0 repositories listed
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Free resolutions of function classes via order complexes5 Sep 2019 0 repositories listed
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McDiarmid-Type Inequalities for Graph-Dependent Variables and Stability Bounds5 Sep 2019 0 repositories listed
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Lecture Notes: Selected topics on robust statistical learning theory28 Aug 2019 0 repositories listed
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A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design19 Aug 2019 0 repositories listed
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On the Existence of Simpler Machine Learning Models5 Aug 2019 0 repositories listed
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Domain Generalization via Multidomain Discriminant Analysis25 Jul 2019 0 repositories listed
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Minimal Sample Subspace Learning: Theory and Algorithms13 Jul 2019 0 repositories listed
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Symphony of high-dimensional brain27 Jun 2019 0 repositories listed
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Learning from weakly dependent data under Dobrushin's condition21 Jun 2019 0 repositories listed
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Quadratic Suffices for Over-parametrization via Matrix Chernoff Bound9 Jun 2019 0 repositories listed
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Graph-based Discriminators: Sample Complexity and Expressiveness1 Jun 2019 0 repositories listed
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On the Generalization Gap in Reparameterizable Reinforcement Learning29 May 2019 0 repositories listed
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Understanding the Behaviour of the Empirical Cross-Entropy Beyond the Training Distribution28 May 2019 0 repositories listed
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Empirical Risk Minimization in the Interpolating Regime with Application to Neural Network Learning25 May 2019 0 repositories listed
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Disagreement-based Active Learning in Online Settings19 Apr 2019 0 repositories listed
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The Landscape of the Planted Clique Problem: Dense subgraphs and the Overlap Gap Property15 Apr 2019 0 repositories listed
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Approximation in Lᵖ(μ) with deep ReLU neural networks9 Apr 2019 0 repositories listed
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Deep Fictitious Play for Stochastic Differential Games22 Mar 2019 0 repositories listed
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Recovering the Lowest Layer of Deep Networks with High Threshold Activations21 Mar 2019 0 repositories listed
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A nonasymptotic law of iterated logarithm for general M-estimators15 Mar 2019 0 repositories listed
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Fast Approximation of Frequent k-mers and Applications to Metagenomics26 Feb 2019 0 repositories listed
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Integrated analysis of the urban water-electricity demand nexus in the Midwestern United States26 Feb 2019 0 repositories listed
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Analyzing Data Selection Techniques with Tools from the Theory of Information Losses25 Feb 2019 0 repositories listed
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Generalisation in fully-connected neural networks for time series forecasting14 Feb 2019 0 repositories listed
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Scaling Limits of Wide Neural Networks with Weight Sharing: Gaussian Process Behavior, Gradient Independence, and Neural Tangent Kernel Derivation13 Feb 2019 0 repositories listed
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Learning Theory and Support Vector Machines - a primer12 Feb 2019 0 repositories listed
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Fast Hyperparameter Tuning using Bayesian Optimization with Directional Derivatives6 Feb 2019 0 repositories listed
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Distributional property testing in a quantum world2 Feb 2019 0 repositories listed
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On Generalization Error Bounds of Noisy Gradient Methods for Non-Convex Learning2 Feb 2019 0 repositories listed
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Learning Schatten--von Neumann Operators29 Jan 2019 0 repositories listed
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Anomaly detecting and ranking of the cloud computing platform by multi-view learning27 Jan 2019 0 repositories listed
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Optimality Implies Kernel Sum Classifiers are Statistically Efficient25 Jan 2019 0 repositories listed
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Tighter Problem-Dependent Regret Bounds in Reinforcement Learning without Domain Knowledge using Value Function Bounds1 Jan 2019 0 repositories listed
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Max-Diversity Distributed Learning: Theory and Algorithms19 Dec 2018 0 repositories listed
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Deep Reinforcement Learning and the Deadly Triad6 Dec 2018 0 repositories listed
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Machine Learning of coarse-grained Molecular Dynamics Force Fields4 Dec 2018 0 repositories listed