← Optimization & Theory
Machine Learning › Optimization & Theory ›

Theory

4950 directly classified papers

Papers per year

Papers

Separations in the Representational Capabilities of Transformers and Recurrent Architectures NIPS 2024
Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks NIPS 2024
Identifying Equivalent Training Dynamics NIPS 2024
Learning Neural Networks with Sparse Activations COLT 2024
A Boosting-Type Convergence Result for AdaBoost.MH with Factorized Multi-Class Classifiers NIPS 2024
E2HQV: High-Quality Video Generation from Event Camera via Theory-Inspired Model-Aided Deep Learning AAAI 2024
Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study AAAI 2024
Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks COLT 2024
Optimal Multiclass U-Calibration Error and Beyond NIPS 2024
Open Problem: Order Optimal Regret Bounds for Kernel-Based Reinforcement Learning COLT 2024
Decoupling Semantic Similarity from Spatial Alignment for Neural Networks. NIPS 2024
Measuring Per-Unit Interpretability at Scale Without Humans NIPS 2024
Symmetry-Informed Governing Equation Discovery NIPS 2024
Memory Asymmetry Creates Heteroclinic Orbits to Nash Equilibrium in Learning in Zero-Sum Games AAAI 2024
Equivalence Testing: The Power of Bounded Adaptivity AISTATS 2024
Empowering CAM-Based Methods with Capability to Generate Fine-Grained and High-Faithfulness Explanations AAAI 2024
Building a stable classifier with the inflated argmax NIPS 2024
An Examination of the Robustness of Reference-Free Image Captioning Evaluation Metrics EACL 2024
Choosing the Number of Topics in LDA Models – A Monte Carlo Comparison of Selection Criteria JMLR 2024
Item Response Theory for Natural Language Processing EACL 2024
Graph Neural Networks and Arithmetic Circuits NIPS 2024
Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods AISTATS 2024
Emotion Arithmetic: Emotional Speech Synthesis via Weight Space Interpolation INTERSPEECH 2024
The Irrelevance of Influencers: Information Diffusion with Re-Activation and Immunity Lasts Exponentially Long on Social Network Models AAAI 2024
On the (In)feasibility of ML Backdoor Detection as an Hypothesis Testing Problem AISTATS 2024