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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)

StartNet: Online Detection of Action Start in Untrimmed Videos ICCV 2019 State Abstraction as Compression in Apprenticeship Learning AAAI 2019 State-Regularized Recurrent Neural Networks ICML 2019 Static Automatic Batching In TensorFlow ICML 2019 Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection NeurIPS 2019 Statistical-Computational Tradeoff in Single Index Models NeurIPS 2019 Statistical Foundations of Virtual Democracy ICML 2019 Statistical Guarantees for the Robustness of Bayesian Neural Networks IJCAI 2019 Statistical Learning under Nonstationary Mixing Processes AISTATS 2019 Statistical Learning with a Nuisance Component COLT 2019 Statistical Model Aggregation via Parameter Matching NeurIPS 2019 Statistical Windows in Testing for the Initial Distribution of a Reversible Markov Chain AISTATS 2019 STCA: Spatio-Temporal Credit Assignment with Delayed Feedback in Deep Spiking Neural Networks IJCAI 2019 STCN: Stochastic Temporal Convolutional Networks ICLR 2019 Steady-State Policy Synthesis for Verifiable Control IJCAI 2019 Stein Point Markov Chain Monte Carlo ICML 2019 Stein Variational Gradient Descent With Matrix-Valued Kernels NeurIPS 2019 Stochastic algorithms with descent guarantees for ICA AISTATS 2019 Stochastic Approximation of Smooth and Strongly Convex Functions: Beyond the $O(1/T)$ Convergence Rate COLT 2019 Stochastic Bandits with Context Distributions NeurIPS 2019 Stochastic Beams and Where To Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement ICML 2019 Stochastic Canonical Correlation Analysis JMLR 2019 Stochastic Constraint Propagation for Mining Probabilistic Networks IJCAI 2019 Stochastic Continuous Greedy ++: When Upper and Lower Bounds Match NeurIPS 2019 Stochastic Exposure Coding for Handling Multi-ToF-Camera Interference ICCV 2019