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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)

LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models EMNLP 2023 LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence ICLR 2023 Local and Global Logit Adjustments for Long-Tailed Learning ICCV 2023 Local Dependence Graphs for Discrete Time Processes CLeaR 2023 Local Glivenko-Cantelli COLT 2023 Local Intrinsic Dimensional Entropy AAAI 2023 Localized Randomized Smoothing for Collective Robustness Certification ICLR 2023 Local Justice and Machine Learning: Modeling and Inferring Dynamic Ethical Preferences toward Allocations AAAI 2023 Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning NeurIPS 2023 Locally Regularized Neural Differential Equations: Some Black Boxes were meant to remain closed! ICML 2023 Local Message Passing on Frustrated Systems UAI 2023 Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning ICML 2023 Local Path Integration for Attribution AAAI 2023 Local Risk Bounds for Statistical Aggregation COLT 2023 Local Temperature Beam Search: Avoid Neural Text DeGeneration via Enhanced Calibration ACL 2023 LOFT: Finding Lottery Tickets through Filter-wise Training AISTATS 2023 Logarithmic regret in communicating MDPs: Leveraging known dynamics with bandits ACML 2023 Logarithmic-Regret Quantum Learning Algorithms for Zero-Sum Games NeurIPS 2023 Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning ICLR 2023 Log-linear Guardedness and its Implications ACL 2023 LogSpecT: Feasible Graph Learning Model from Stationary Signals with Recovery Guarantees NeurIPS 2023 Lo-Hi: Practical ML Drug Discovery Benchmark NeurIPS 2023 Lon-eå at SemEval-2023 Task 11: A Comparison of Activation Functions for Soft and Hard Label Prediction SemEval 2023 LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization EACL 2023 Long-tailed Extreme Multi-label Text Classification by the Retrieval of Generated Pseudo Label Descriptions EACL 2023