| Graph Neural Networks Provably Benefit from Structural Information: A Feature Learning Perspective | Jun 24, 2023 | Graph Representation LearningLearning Theory | —Unverified | 0 |
| Scaling MLPs: A Tale of Inductive Bias | Jun 23, 2023 | Computational EfficiencyGPU | CodeCode Available | 1 |
| A primal-dual data-driven method for computational optical imaging with a photonic lantern | Jun 20, 2023 | Decision MakingLearning Theory | CodeCode Available | 0 |
| Exact Count of Boundary Pieces of ReLU Classifiers: Towards the Proper Complexity Measure for Classification | Jun 15, 2023 | Learning Theory | —Unverified | 0 |
| Learning to Defend by Attacking (and Vice-Versa): Transfer of Learning in Cybersecurity Games | Jun 3, 2023 | Decision MakingLearning Theory | —Unverified | 0 |
| On the Sample Complexity of Imitation Learning for Smoothed Model Predictive Control | Jun 2, 2023 | Imitation LearningLearning Theory | —Unverified | 0 |
| Improving Energy Conserving Descent for Machine Learning: Theory and Practice | Jun 1, 2023 | Learning Theory | CodeCode Available | 0 |
| Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability | May 31, 2023 | Binary ClassificationClassification | —Unverified | 0 |
| Benign Overfitting in Deep Neural Networks under Lazy Training | May 30, 2023 | Learning Theory | —Unverified | 0 |
| Embedding Inequalities for Barron-type Spaces | May 30, 2023 | Learning Theory | —Unverified | 0 |
| How Does Information Bottleneck Help Deep Learning? | May 30, 2023 | Deep LearningGeneralization Bounds | CodeCode Available | 1 |
| Improving Generalization of Complex Models under Unbounded Loss Using PAC-Bayes Bounds | May 30, 2023 | Learning Theory | —Unverified | 0 |
| How many samples are needed to leverage smoothness? | May 25, 2023 | Learning Theory | —Unverified | 0 |
| Data-driven Mixed Integer Optimization through Probabilistic Multi-variable Branching | May 21, 2023 | Learning Theory | —Unverified | 0 |
| Uniform-in-Time Wasserstein Stability Bounds for (Noisy) Stochastic Gradient Descent | May 20, 2023 | Generalization BoundsLearning Theory | —Unverified | 0 |
| How Spurious Features Are Memorized: Precise Analysis for Random and NTK Features | May 20, 2023 | Learning TheoryMemorization | CodeCode Available | 0 |
| Supervised learning with probabilistic morphisms and kernel mean embeddings | May 10, 2023 | Learning Theory | —Unverified | 0 |
| Learnability with Time-Sharing Computational Resource Concerns | May 3, 2023 | Learning TheoryScheduling | —Unverified | 0 |
| The ART of Transfer Learning: An Adaptive and Robust Pipeline | Apr 30, 2023 | Learning TheorySparse Learning | —Unverified | 0 |
| Optimal PAC Bounds Without Uniform Convergence | Apr 18, 2023 | Binary ClassificationClassification | —Unverified | 0 |
| Challenges of learning multi-scale dynamics with AI weather models: Implications for stability and one solution | Apr 14, 2023 | Decision MakingDeep Learning | CodeCode Available | 0 |
| Depth Separation with Multilayer Mean-Field Networks | Apr 3, 2023 | Learning Theory | —Unverified | 0 |
| Bayesian Free Energy of Deep ReLU Neural Network in Overparametrized Cases | Mar 28, 2023 | Learning Theory | —Unverified | 0 |
| Double Descent Demystified: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle | Mar 24, 2023 | Learning Theoryregression | CodeCode Available | 1 |
| Type-II Saddles and Probabilistic Stability of Stochastic Gradient Descent | Mar 23, 2023 | Learning Theory | —Unverified | 0 |
| Uniform Risk Bounds for Learning with Dependent Data Sequences | Mar 21, 2023 | Learning Theory | —Unverified | 0 |
| Lower Generalization Bounds for GD and SGD in Smooth Stochastic Convex Optimization | Mar 19, 2023 | Generalization BoundsLearning Theory | —Unverified | 0 |
| Distribution-free Deviation Bounds and The Role of Domain Knowledge in Learning via Model Selection with Cross-validation Risk Estimation | Mar 15, 2023 | Learning TheoryModel Selection | —Unverified | 0 |
| ERUDITE: Human-in-the-Loop IoT for an Adaptive Personalized Learning System | Mar 7, 2023 | Learning Theory | —Unverified | 0 |
| Margin theory for the scenario-based approach to robust optimization in high dimension | Mar 7, 2023 | Learning Theory | —Unverified | 0 |
| Near Optimal Memory-Regret Tradeoff for Online Learning | Mar 3, 2023 | Learning Theory | —Unverified | 0 |
| Learning curves for deep structured Gaussian feature models | Mar 1, 2023 | Learning Theory | —Unverified | 0 |
| Exponential Hardness of Reinforcement Learning with Linear Function Approximation | Feb 25, 2023 | Learning Theoryreinforcement-learning | —Unverified | 0 |
| Generative Models of Huge Objects | Feb 24, 2023 | FairnessLearning Theory | —Unverified | 0 |
| New Guarantees for Learning Revenue Maximizing Menus of Lotteries and Two-Part Tariffs | Feb 22, 2023 | Learning TheoryVocal Bursts Valence Prediction | —Unverified | 0 |
| Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles | Feb 22, 2023 | Bayesian OptimizationDiversity | —Unverified | 0 |
| Kernel-Based Distributed Q-Learning: A Scalable Reinforcement Learning Approach for Dynamic Treatment Regimes | Feb 21, 2023 | Learning TheoryMedical Diagnosis | —Unverified | 0 |
| Statistical Inference for Linear Functionals of Online SGD in High-dimensional Linear Regression | Feb 20, 2023 | Learning Theory | —Unverified | 0 |
| Stability-based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning | Feb 20, 2023 | feature selectionGeneralization Bounds | —Unverified | 0 |
| Computational Complexity of Learning Neural Networks: Smoothness and Degeneracy | Feb 15, 2023 | Learning Theory | —Unverified | 0 |
| Quantum Learning Theory Beyond Batch Binary Classification | Feb 15, 2023 | Binary ClassificationClassification | —Unverified | 0 |
| Variational Bayesian Neural Networks via Resolution of Singularities | Feb 13, 2023 | Learning TheoryVariational Inference | CodeCode Available | 0 |
| On the Complexity of Computing Gödel Numbers | Feb 8, 2023 | Learning Theory | —Unverified | 0 |
| Generalization Bounds with Data-dependent Fractal Dimensions | Feb 6, 2023 | Generalization BoundsLearning Theory | CodeCode Available | 0 |
| Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design | Feb 6, 2023 | Drug DiscoveryLearning Theory | —Unverified | 0 |
| A Comprehensive Survey of Continual Learning: Theory, Method and Application | Jan 31, 2023 | Continual LearningLearning Theory | CodeCode Available | 1 |
| Compression, Generalization and Learning | Jan 30, 2023 | Learning Theoryvalid | —Unverified | 0 |
| Sampling-based Nyström Approximation and Kernel Quadrature | Jan 23, 2023 | Learning Theory | CodeCode Available | 0 |
| Learning stability of partially observed switched linear systems | Jan 19, 2023 | Learning Theory | —Unverified | 0 |
| Stretched and measured neural predictions of complex network dynamics | Jan 12, 2023 | Learning Theory | —Unverified | 0 |