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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)

Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples ICML 2024 Guided conditioning with predictive network on score-based diffusion model for speech enhancement Interspeech 2024 Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization NeurIPS 2024 Guide to Numerical Experiments on Elections in Computational Social Choice IJCAI 2024 Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generation ICML 2024 Guiding Neural Collapse: Optimising Towards the Nearest Simplex Equiangular Tight Frame NeurIPS 2024 Hairpin: Rethinking Packet Loss Recovery in Edge-based Interactive Video Streaming NSDI 2024 Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models NeurIPS 2024 Hamiltonian Monte Carlo on ReLU Neural Networks is Inefficient NeurIPS 2024 Hamiltonian Score Matching and Generative Flows NeurIPS 2024 Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation ACL 2024 Handling Heterogeneous Curvatures in Bandit LQR Control ICML 2024 Harder or Different? Understanding Generalization of Audio Deepfake Detection Interspeech 2024 Hard-Label Based Small Query Black-Box Adversarial Attack WACV 2024 Hardness of Learning Neural Networks under the Manifold Hypothesis NeurIPS 2024 Hardness of Random Reordered Encodings of Parity for Resolution and CDCL AAAI 2024 Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation AAAI 2024 Hard Tasks First: Multi-Task Reinforcement Learning Through Task Scheduling ICML 2024 Hard-Thresholding Meets Evolution Strategies in Reinforcement Learning IJCAI 2024 Hardware Aware Evolutionary Neural Architecture Search Using Representation Similarity Metric WACV 2024 Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks COLT 2024 HarmonyDream: Task Harmonization Inside World Models ICML 2024 Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis ICML 2024 Harnessing Multiple Correlated Networks for Exact Community Recovery NeurIPS 2024 Harnessing Neural Unit Dynamics for Effective and Scalable Class-Incremental Learning ICML 2024