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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)

Smoothing Structured Decomposable Circuits NeurIPS 2019 SNAS: stochastic neural architecture search ICLR 2019 SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY ICLR 2019 Sobolev Descent AISTATS 2019 SoDeep: A Sorting Deep Net to Learn Ranking Loss Surrogates CVPR 2019 Soft Q-Learning with Mutual-Information Regularization ICLR 2019 Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods NeurIPS 2019 Solving Continual Combinatorial Selection via Deep Reinforcement Learning IJCAI 2019 Solving Empirical Risk Minimization in the Current Matrix Multiplication Time COLT 2019 Solving Imperfect-Information Games via Discounted Regret Minimization AAAI 2019 Solving Interpretable Kernel Dimensionality Reduction NeurIPS 2019 Solving Partially Observable Stochastic Games with Public Observations AAAI 2019 Sorted Top-k in Rounds COLT 2019 Sorting Out Lipschitz Function Approximation ICML 2019 Space and Time Efficient Kernel Density Estimation in High Dimensions NeurIPS 2019 Space lower bounds for linear prediction in the streaming model COLT 2019 spark-crowd: A Spark Package for Learning from Crowdsourced Big Data JMLR 2019 Sparse Extreme Multi-label Learning with Oracle Property ICML 2019 SparseFool: A Few Pixels Make a Big Difference CVPR 2019 Sparse High-Dimensional Isotonic Regression NeurIPS 2019 Sparse Kernel Regression with Coefficient-based ℓ_q-regularization JMLR 2019 Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models NeurIPS 2019 SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers NeurIPS 2019 Sparse Variational Inference: Bayesian Coresets from Scratch NeurIPS 2019 Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs NeurIPS 2019