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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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828
3,646
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2000
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Papers (including subtopics)

Hardness of Learning AES Key (Student Abstract) AAAI 2023 Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery NeurIPS 2023 Hard Sample Aware Prompt-Tuning ACL 2023 HARP: Personalized Hand Reconstruction From a Monocular RGB Video CVPR 2023 Have LLMs Advanced Enough? A Challenging Problem Solving Benchmark For Large Language Models EMNLP 2023 Hawkes Process Based on Controlled Differential Equations IJCAI 2023 Hawkes Process with Flexible Triggering Kernels MLHC 2023 Heat Diffusion Based Multi-Scale and Geometric Structure-Aware Transformer for Mesh Segmentation CVPR 2023 Heavy-tailed linear bandit with Huber regression UAI 2023 Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs ICLR 2023 Hedging against Complexity: Distributionally Robust Optimization with Parametric Approximation AISTATS 2023 Heteroscedastic Gaussian Processes and Random Features: Scalable Motion Primitives with Guarantees CoRL 2023 Heteroskedastic Geospatial Tracking with Distributed Camera Networks UAI 2023 HeteRSGD: Tackling Heterogeneous Sampling Costs via Optimal Reweighted Stochastic Gradient Descent AISTATS 2023 Hidden Markov Transformer for Simultaneous Machine Translation ICLR 2023 Hidden Symmetries of ReLU Networks ICML 2023 Hiding Data Helps: On the Benefits of Masking for Sparse Coding ICML 2023 Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems AISTATS 2023 Hierarchical Kernels in Deep Kernel Learning JMLR 2023 Hierarchically Gated Recurrent Neural Network for Sequence Modeling NeurIPS 2023 Hierarchical Neural Memory Network for Low Latency Event Processing CVPR 2023 Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration NeurIPS 2023 Hierarchical Sliced Wasserstein Distance ICLR 2023 Hierarchical Transformer for Scalable Graph Learning IJCAI 2023 Hierarchical VAEs provide a normative account of motion processing in the primate brain NeurIPS 2023