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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)

Classification vs regression in overparameterized regimes: Does the loss function matter? JMLR 2021 Classification with Rejection Based on Cost-sensitive Classification ICML 2021 Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning AAAI 2021 Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference AAAI 2021 Clinical Trial of an AI-Augmented Intervention for HIV Prevention in Youth Experiencing Homelessness AAAI 2021 Clipping Loops for Sample-Efficient Dialogue Policy Optimisation NAACL 2021 Closing the BIG-LID: An Effective Local Intrinsic Dimensionality Defense for Nonlinear Regression Poisoning IJCAI 2021 Closing the Gap: Tighter Analysis of Alternating Stochastic Gradient Methods for Bilevel Problems NeurIPS 2021 Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels ICML 2021 Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning ICML 2021 Cluster-Promoting Quantization With Bit-Drop for Minimizing Network Quantization Loss ICCV 2021 CLUZH at SIGMORPHON 2021 Shared Task on Multilingual Grapheme-to-Phoneme Conversion: Variations on a Baseline ACL 2021 Coarse-To-Fine Person Re-Identification With Auxiliary-Domain Classification and Second-Order Information Bottleneck CVPR 2021 CodedBulk: Inter-Datacenter Bulk Transfers using Network Coding NSDI 2021 COKE: Communication-Censored Decentralized Kernel Learning JMLR 2021 Collaborative Bayesian Optimization with Fair Regret ICML 2021 Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning) NeurIPS 2021 Collapsed Variational Bounds for Bayesian Neural Networks NeurIPS 2021 Collect & Infer - a fresh look at data-efficient Reinforcement Learning CoRL 2021 Combinatorial Blocking Bandits with Stochastic Delays ICML 2021 Combinatorial Gaussian Process Bandits with Probabilistically Triggered Arms AISTATS 2021 Combinatorial Learning of Graph Edit Distance via Dynamic Embedding CVPR 2021 Combinatorial Pure Exploration with Full-Bandit or Partial Linear Feedback AAAI 2021 Combined Depth Space Based Architecture Search for Person Re-Identification CVPR 2021 Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces NeurIPS 2021