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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)

Hardness and Algorithms for Robust and Sparse Optimization ICML 2022 Hardness in Markov Decision Processes: Theory and Practice NeurIPS 2022 Hardness of Learning a Single Neuron with Adversarial Label Noise AISTATS 2022 Hardness of Maximum Likelihood Learning of DPPs COLT 2022 Hardness of Noise-Free Learning for Two-Hidden-Layer Neural Networks NeurIPS 2022 Hard to Forget: Poisoning Attacks on Certified Machine Unlearning AAAI 2022 HaRiM+: Evaluating Summary Quality with Hallucination Risk AACL 2022 Harmless interpolation in regression and classification with structured features AISTATS 2022 HashNWalk: Hash and Random Walk Based Anomaly Detection in Hyperedge Streams IJCAI 2022 H-Consistency Bounds for Surrogate Loss Minimizers ICML 2022 Heatmap Distribution Matching for Human Pose Estimation NeurIPS 2022 Heavy-tailed Streaming Statistical Estimation AISTATS 2022 Hedging as Reward Augmentation in Probabilistic Graphical Models NeurIPS 2022 HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imaging CVPR 2022 Hessian-Aware Pruning and Optimal Neural Implant WACV 2022 Hessian-Free High-Resolution Nesterov Acceleration For Sampling ICML 2022 Heterogeneous Facility Location with Limited Resources AAAI 2022 HeteroSketch: Coordinating Network-wide Monitoring in Heterogeneous and Dynamic Networks NSDI 2022 Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions ICLR 2022 Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit NeurIPS 2022 Hierarchical Agglomerative Graph Clustering in Poly-Logarithmic Depth NeurIPS 2022 Hierarchical Bayesian Bandits AISTATS 2022 Hierarchical Bilevel Learning with Architecture and Loss Search for Hadamard-based Image Restoration IJCAI 2022 Hierarchical classification at multiple operating points NeurIPS 2022 Hierarchical Phrase-Based Sequence-to-Sequence Learning EMNLP 2022