← Optimization & Theory
Machine Learning › Optimization & Theory ›

Theory

4950 directly classified papers

Papers per year

Papers

Learning Deep Dissipative Dynamics AAAI 2025
Expressive Power of Temporal Message Passing AAAI 2025
On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension JMLR 2025
Good regularity creates large learning rate implicit biases: edge of stability, balancing, and catapult JMLR 2025
Evaluating Sensitivity Consistency of Explanations WACV 2025
Differential Privacy Mechanisms in Neural Tangent Kernel Regression WACV 2025
Learning-enabled Polynomial Lyapunov Function Synthesis via High-Accuracy Counterexample-Guided Framework CVPR 2025
Empirical Study on Data Attributes Insufficiency of Evaluation Benchmarks for LLMs COLING 2025
Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models AAAI 2025
Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning AAAI 2025
Sentence-level Aggregation of Lexical Metrics Correlates Stronger with Human Judgements than Corpus-level Aggregation AAAI 2025
A Theory of Formalisms for Representing Knowledge AAAI 2025
On Effects of Steering Latent Representation for Large Language Model Unlearning AAAI 2025
Multi-Objective Evolution of Heuristic Using Large Language Model AAAI 2025
Can LLMs Obfuscate Code? A Systematic Analysis of Large Language Models into Assembly Code Obfuscation AAAI 2025
Can Large Language Models Derive High-Level Cognition from Low-Level and Fragmented Foundational Information? AAAI 2025
DRM Revisited: A Complete Error Analysis JMLR 2025
Temporal-Aware Evaluation and Learning for Temporal Graph Neural Networks AAAI 2025
Is Your LLM Outdated? A Deep Look at Temporal Generalization NAACL 2025
DateLogicQA: Benchmarking Temporal Biases in Large Language Models NAACL 2025
On Local Overfitting and Forgetting in Deep Neural Networks AAAI 2025
Chain-of-Probe: Examining the Necessity and Accuracy of CoT Step-by-Step NAACL 2025
Error Bounds for Gaussian Process Regression Under Bounded Support Noise with Applications to Safety Certification AAAI 2025
Certified Causal Defense with Generalizable Robustness AAAI 2025
An Inversion-based Measure of Memorization for Diffusion Models ICCV 2025