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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

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

Dual-Enhanced Coreset Selection with Class-wise Collaboration for Online Blurry Class Incremental Learning CVPR 2024 Dual Lagrangian Learning for Conic Optimization NeurIPS 2024 Dual Operating Modes of In-Context Learning ICML 2024 Dual-Personalizing Adapter for Federated Foundation Models NeurIPS 2024 Dual-Phase Accelerated Prompt Optimization EMNLP 2024 Dual Prior Unfolding for Snapshot Compressive Imaging CVPR 2024 Dual-Scale Transformer for Large-Scale Single-Pixel Imaging CVPR 2024 Dual VC Dimension Obstructs Sample Compression by Embeddings COLT 2024 DUDF: Differentiable Unsigned Distance Fields with Hyperbolic Scaling CVPR 2024 Dueling Optimization with a Monotone Adversary ALT 2024 Dueling over Dessert, Mastering the Art of Repeated Cake Cutting NeurIPS 2024 DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation NeurIPS 2024 Dynamic Anisotropic Smoothing for Noisy Derivative-Free Optimization ICML 2024 Dynamic Budget Throttling in Repeated Second-Price Auctions AAAI 2024 Dynamic Byzantine-Robust Learning: Adapting to Switching Byzantine Workers ICML 2024 Dynamic Discounted Counterfactual Regret Minimization ICLR 2024 Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation AISTATS 2024 Dynamic Knowledge Injection for AIXI Agents AAAI 2024 Dynamic Many-Objective Molecular Optimization: Unfolding Complexity with Objective Decomposition and Progressive Optimization IJCAI 2024 Dynamic Masking Rate Schedules for MLM Pretraining EACL 2024 Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation EMNLP 2024 Dynamic Neural Regeneration: Enhancing Deep Learning Generalization on Small Datasets NeurIPS 2024 Dynamic Regret of Adversarial MDPs with Unknown Transition and Linear Function Approximation AAAI 2024 Dynamic Rescaling for Training GNNs NeurIPS 2024 Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models EMNLP 2024