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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)

Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework NeurIPS 2024 CodedEvents: Optimal Point-Spread-Function Engineering for 3D-Tracking with Event Cameras CVPR 2024 Code Repair with LLMs gives an Exploration-Exploitation Tradeoff NeurIPS 2024 CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following ACL 2024 Cognitive Information Bottleneck: Extracting Minimal Sufficient Cognitive Language Processing Signals COLING 2024 Cogs in a Machine, Doing What They’re Meant to Do – the AMI Submission to the WMT24 General Translation Task EMNLP 2024 COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits ICLR 2024 CoLiDE: Concomitant Linear DAG Estimation ICLR 2024 Collaborative Learning with Different Labeling Functions ICML 2024 Collaborative Performance Prediction for Large Language Models EMNLP 2024 Collage: Light-Weight Low-Precision Strategy for LLM Training ICML 2024 Collective Certified Robustness against Graph Injection Attacks ICML 2024 CoLoRA: Continuous low-rank adaptation for reduced implicit neural modeling of parameterized partial differential equations ICML 2024 Colored Noise in PPO: Improved Exploration and Performance through Correlated Action Sampling AAAI 2024 CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-training NeurIPS 2024 Color-Oriented Redundancy Reduction in Dataset Distillation NeurIPS 2024 Colour Passing Revisited: Lifted Model Construction with Commutative Factors AAAI 2024 Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators AAAI 2024 Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond ICML 2024 Combinatorial Stochastic-Greedy Bandit AAAI 2024 Combining Axes Preconditioners through Kronecker Approximation for Deep Learning ICLR 2024 Combining Frame and GOP Embeddings for Neural Video Representation CVPR 2024 Combining Grammatical and Relational Approaches. A Hybrid Method for the Identification of Candidate Collocations from Corpora COLING 2024 Combining Statistical Depth and Fermat Distance for Uncertainty Quantification NeurIPS 2024 CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimization NeurIPS 2024