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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)

Local Context-aware Self-attention for Continuous Sign Language Recognition Interspeech 2022 Local Differential Privacy for Belief Functions AAAI 2022 Local-Global MCMC kernels: the best of both worlds NeurIPS 2022 Local Identifiability of Deep ReLU Neural Networks: the Theory NeurIPS 2022 Locality-Sensitive Hashing for Long Context Neural Machine Translation ACL 2022 Local Latent Space Bayesian Optimization over Structured Inputs NeurIPS 2022 Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning CVPR 2022 Local Linear Convergence of Douglas-Rachford for Linear Programming: a Probabilistic Analysis ICML 2022 Locally Differentially Private Reinforcement Learning for Linear Mixture Markov Decision Processes ACML 2022 Local SGD Optimizes Overparameterized Neural Networks in Polynomial Time AISTATS 2022 Local Similarity Pattern and Cost Self-Reassembling for Deep Stereo Matching Networks AAAI 2022 Local-to-global learning for iterative training of production SLU models on new features NAACL 2022 LocoProp: Enhancing BackProp via Local Loss Optimization AISTATS 2022 Logarithmic Regret for Episodic Continuous-Time Linear-Quadratic Reinforcement Learning over a Finite-Time Horizon JMLR 2022 Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets ICML 2022 Logical Credal Networks NeurIPS 2022 Logic Traps in Evaluating Attribution Scores ACL 2022 Logit Perturbation AAAI 2022 Long-range Sequence Modeling with Predictable Sparse Attention ACL 2022 Long-Tailed Recognition via Weight Balancing CVPR 2022 Long-Tailed Visual Recognition via Gaussian Clouded Logit Adjustment CVPR 2022 Long-Term Visual Map Sparsification With Heterogeneous GNN CVPR 2022 Look-Ahead Acquisition Functions for Bernoulli Level Set Estimation AISTATS 2022 Loss as the Inconsistency of a Probabilistic Dependency Graph: Choose Your Model, Not Your Loss Function AISTATS 2022 Loss Function Learning for Domain Generalization by Implicit Gradient ICML 2022