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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

1
52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Shuffle Private Stochastic Convex Optimization ICLR 2022 SiDi KWS: A Large-Scale Multilingual Dataset for Keyword Spotting Interspeech 2022 Signal Propagation in Transformers: Theoretical Perspectives and the Role of Rank Collapse NeurIPS 2022 Signal Recovery with Non-Expansive Generative Network Priors NeurIPS 2022 Signature Moments to Characterize Laws of Stochastic Processes JMLR 2022 Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion IJCAI 2022 Simple Agent, Complex Environment: Efficient Reinforcement Learning with Agent States JMLR 2022 Simple and near-optimal algorithms for hidden stratification and multi-group learning ICML 2022 Simple and Optimal Stochastic Gradient Methods for Nonsmooth Nonconvex Optimization JMLR 2022 Simple Local Attentions Remain Competitive for Long-Context Tasks NAACL 2022 Simplified and unified analysis of various learning problems by reduction to Multiple-Instance Learning UAI 2022 Simulation-guided Beam Search for Neural Combinatorial Optimization NeurIPS 2022 Simultaneous Graph Signal Clustering and Graph Learning ICML 2022 Simultaneously Learning Stochastic and Adversarial Bandits under the Position-Based Model AAAI 2022 Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback ICML 2022 SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance NeurIPS 2022 Single Loop Gaussian Homotopy Method for Non-convex Optimization NeurIPS 2022 Single-pass Streaming Lower Bounds for Multi-armed Bandits Exploration with Instance-sensitive Sample Complexity NeurIPS 2022 Single Trajectory Nonparametric Learning of Nonlinear Dynamics COLT 2022 SIXO: Smoothing Inference with Twisted Objectives NeurIPS 2022 Size and depth of monotone neural networks: interpolation and approximation NeurIPS 2022 SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks NeurIPS 2022 Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity NeurIPS 2022 Sketching Algorithms and Lower Bounds for Ridge Regression ICML 2022 Sketching a Linguistically-Driven Reasoning Dialog Model for Social Talk ACL 2022