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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)

Stochastic Shortest Path with Adversarially Changing Costs IJCAI 2021 Stochastic Sign Descent Methods: New Algorithms and Better Theory ICML 2021 Stochastic Solutions for Linear Inverse Problems using the Prior Implicit in a Denoiser NeurIPS 2021 Stochastic Top-K Subset Bandits with Linear Space and Non-Linear Feedback ALT 2021 Stochastic Whitening Batch Normalization CVPR 2021 Storchastic: A Framework for General Stochastic Automatic Differentiation NeurIPS 2021 STORM+: Fully Adaptive SGD with Recursive Momentum for Nonconvex Optimization NeurIPS 2021 Straight to the Gradient: Learning to Use Novel Tokens for Neural Text Generation ICML 2021 Strategically efficient exploration in competitive multi-agent reinforcement learning UAI 2021 Strategic Classification Made Practical ICML 2021 Stratified Negation in Datalog with Metric Temporal Operators AAAI 2021 Streaming and Distributed Algorithms for Robust Column Subset Selection ICML 2021 Streaming Bayesian Deep Tensor Factorization ICML 2021 Streaming k-PCA: Efficient guarantees for Oja’s algorithm, beyond rank-one updates COLT 2021 Streaming Linear System Identification with Reverse Experience Replay NeurIPS 2021 Strength Through Diversity: Robust Behavior Learning via Mixture Policies CoRL 2021 STRODE: Stochastic Boundary Ordinary Differential Equation ICML 2021 Stronger NAS with Weaker Predictors NeurIPS 2021 Structural Credit Assignment in Neural Networks using Reinforcement Learning NeurIPS 2021 Structured Convolutional Kernel Networks for Airline Crew Scheduling ICML 2021 Structured Dropout Variational Inference for Bayesian Neural Networks NeurIPS 2021 Structure-From-Sherds: Incremental 3D Reassembly of Axially Symmetric Pots From Unordered and Mixed Fragment Collections ICCV 2021 Structure learning in polynomial time: Greedy algorithms, Bregman information, and exponential families NeurIPS 2021 Student-Teacher Learning From Clean Inputs to Noisy Inputs CVPR 2021 Studying word order through iterative shuffling EMNLP 2021