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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)

Compositional Generative Inverse Design ICLR 2024 Compositional PAC-Bayes: Generalization of GNNs with persistence and beyond NeurIPS 2024 Compressed and distributed least-squares regression: convergence rates with applications to federated learning JMLR 2024 Compressed Context Memory for Online Language Model Interaction ICLR 2024 Compressing Large Language Models using Low Rank and Low Precision Decomposition NeurIPS 2024 Compressing Latent Space via Least Volume ICLR 2024 Compression with Exact Error Distribution for Federated Learning AISTATS 2024 Computational Complexity of Verifying the Group No-show Paradox IJCAI 2024 Computational Expressivity of Neural Language Models ACL 2024 Computational-Statistical Gaps for Improper Learning in Sparse Linear Regression COLT 2024 Computational-Statistical Gaps in Gaussian Single-Index Models (Extended Abstract) COLT 2024 Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference NeurIPS 2024 Computation-information gap in high-dimensional clustering COLT 2024 Computing Low-Entropy Couplings for Large-Support Distributions UAI 2024 Computing Nash Equilibria in Potential Games with Private Uncoupled Constraints AAAI 2024 Computing the Bias of Constant-step Stochastic Approximation with Markovian Noise NeurIPS 2024 Computing the Why-Provenance for Datalog Queries via SAT Solvers AAAI 2024 Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models NeurIPS 2024 Concentration and Moment Inequalities for General Functions of Independent Random Variables with Heavy Tails JMLR 2024 Concentration Inequalities for General Functions of Heavy-Tailed Random Variables ICML 2024 Concentration Tail-Bound Analysis of Coevolutionary and Bandit Learning Algorithms IJCAI 2024 ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models ACL 2024 Concise and Precise Context Compression for Tool-Using Language Models ACL 2024 Conditional Density Estimation with Histogram Trees NeurIPS 2024 Conditional Language Policy: A General Framework For Steerable Multi-Objective Finetuning EMNLP 2024