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Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

1
52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Law of Large Numbers and Central Limit Theorem for Wide Two-layer Neural Networks: The Mini-Batch and Noisy Case JMLR 2024 Layer-Aware Analysis of Catastrophic Overfitting: Revealing the Pseudo-Robust Shortcut Dependency ICML 2024 Layer Collaboration in the Forward-Forward Algorithm AAAI 2024 Layered and Staged Monte Carlo Tree Search for SMT Strategy Synthesis IJCAI 2024 LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding ACL 2024 Layerwise Change of Knowledge in Neural Networks ICML 2024 Layer-wise Importance Matters: Less Memory for Better Performance in Parameter-efficient Fine-tuning of Large Language Models EMNLP 2024 Layer-wise linear mode connectivity ICLR 2024 Layerwise Proximal Replay: A Proximal Point Method for Online Continual Learning ICML 2024 Layer-wise Regularized Dropout for Neural Language Models COLING 2024 Layer-Wise Representation Fusion for Compositional Generalization AAAI 2024 LCOT: Linear Circular Optimal Transport ICLR 2024 LDB: An Efficient Latency Profiling Tool for Multithreaded Applications NSDI 2024 LEAD: Exploring Logit Space Evolution for Model Selection CVPR 2024 LeanReasoner: Boosting Complex Logical Reasoning with Lean NAACL 2024 Learnability Gaps of Strategic Classification COLT 2024 Learnability of high-dimensional targets by two-parameter models and gradient flow NeurIPS 2024 Learnability of Linear Port-Hamiltonian Systems JMLR 2024 Learn and Don't Forget: Adding a New Language to ASR Foundation Models Interspeech 2024 Learned Transformer Position Embeddings Have a Low-Dimensional Structure ACL 2024 Learning ε-Nash equilibrium stationary policies in stochastic games with unknown independent chains using online mirror descent L4DC 2024 Learning 1-Bit Tiny Object Detector with Discriminative Feature Refinement ICML 2024 Learning Accurate and Interpretable Decision Trees UAI 2024 Learning Adaptive Kernels for Statistical Independence Tests AISTATS 2024 Learning Adverbs with Spectral Mixture Kernels ACL 2024