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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)

PenDer: Incorporating Shape Constraints via Penalized Derivatives AAAI 2021 Perception Beyond Sensors Under Uncertainty AAAI 2021 Periodic Activation Functions Induce Stationarity NeurIPS 2021 Permutation Weighting ICML 2021 Permuton-induced Chinese Restaurant Process NeurIPS 2021 Personalized Cross-Silo Federated Learning on Non-IID Data AAAI 2021 Persuading Voters in District-based Elections AAAI 2021 Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems NeurIPS 2021 Perturbation Theory for the Information Bottleneck NeurIPS 2021 Perturbing Eigenvalues with Residual Learning in Graph Convolutional Neural Networks ACML 2021 PGT: A Progressive Method for Training Models on Long Videos CVPR 2021 Phase Diagram for Two-layer ReLU Neural Networks at Infinite-width Limit JMLR 2021 Phase-Wise Parameter Aggregation for Improving SGD Optimization WACV 2021 Phasic Policy Gradient ICML 2021 PHEW : Constructing Sparse Networks that Learn Fast and Generalize Well without Training Data ICML 2021 Physarum Powered Differentiable Linear Programming Layers and Applications AAAI 2021 Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling NeurIPS 2021 Physics-aware, probabilistic model order reduction with guaranteed stability ICLR 2021 Physics-constrained Automatic Feature Engineering for Predictive Modeling in Materials Science AAAI 2021 Physics-Informed Deep Learning for Traffic State Estimation: A Hybrid Paradigm Informed By Second-Order Traffic Models AAAI 2021 Picking Sequences and Monotonicity in Weighted Fair Division IJCAI 2021 PID Accelerated Value Iteration Algorithm ICML 2021 PID-Based Approach to Adversarial Attacks AAAI 2021 Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift ICCV 2021 Pipeline Combinators for Gradual AutoML NeurIPS 2021