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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)

Real-Time Selection Under General Constraints via Predictive Inference NeurIPS 2024 Reasoning about Network Traffic Load Property at Production Scale NSDI 2024 Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning Strategies EMNLP 2024 Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous Driving NeurIPS 2024 Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks NAACL 2024 Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths EMNLP 2024 Rebuilding ROME : Resolving Model Collapse during Sequential Model Editing EMNLP 2024 Reciprocal Learning NeurIPS 2024 RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations ICLR 2024 Recommender Ecosystems: A Mechanism Design Perspective on Holistic Modeling and Optimization AAAI 2024 ReconBoost: Boosting Can Achieve Modality Reconcilement ICML 2024 Reconstructing the Geometry of Random Geometric Graphs (Extended Abstract) COLT 2024 Reconstruction-free Cascaded Adaptive Compressive Sensing CVPR 2024 RECOST: External Knowledge Guided Data-efficient Instruction Tuning ACL 2024 Recovering Labels from Local Updates in Federated Learning ICML 2024 Recovery Guarantees for Distributed-OMP AISTATS 2024 Recurrent Alignment with Hard Attention for Hierarchical Text Rating EMNLP 2024 Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery NeurIPS 2024 Recurrent Concept Drifts on Data Streams IJCAI 2024 Recurrent neural network dynamical systems for biological vision NeurIPS 2024 Recurrent Neural Networks Learn to Store and Generate Sequences using Non-Linear Representations EMNLP 2024 Recurrent neural networks: vanishing and exploding gradients are not the end of the story NeurIPS 2024 Recurrent Partial Kernel Network for Efficient Optical Flow Estimation AAAI 2024 Recursively feasible shrinking-horizon MPC in dynamic environments with conformal prediction guarantees L4DC 2024 Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss NeurIPS 2024