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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

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

Structured Sparsification of Gated Recurrent Neural Networks AAAI 2020 Structured Tuning for Semantic Role Labeling ACL 2020 Structured Variational Inference in Partially Observable Unstable Gaussian Process State Space Models L4DC 2020 Structure Learning from Related Data Sets with a Hierarchical Bayesian Score PGM 2020 Student Specialization in Deep Rectified Networks With Finite Width and Input Dimension ICML 2020 Style versus Content: A distinction without a (learnable) difference? COLING 2020 Subgroup-based Rank-1 Lattice Quasi-Monte Carlo NeurIPS 2020 Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces NeurIPS 2020 Sub-sampling for Efficient Non-Parametric Bandit Exploration NeurIPS 2020 Subsidy Allocations in the Presence of Income Shocks AAAI 2020 Subspace Fitting Meets Regression: The Effects of Supervision and Orthonormality Constraints on Double Descent of Generalization Errors ICML 2020 Successfully Applying the Stabilized Lottery Ticket Hypothesis to the Transformer Architecture ACL 2020 SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models ICLR 2020 Sundial: Fault-tolerant Clock Synchronization for Datacenters OSDI 2020 Super-efficiency of automatic differentiation for functions defined as a minimum ICML 2020 SuperLoss: A Generic Loss for Robust Curriculum Learning NeurIPS 2020 Superpolynomial Lower Bounds for Learning One-Layer Neural Networks using Gradient Descent ICML 2020 Supervised learning: no loss no cry ICML 2020 SupMMD: A Sentence Importance Model for Extractive Summarization using Maximum Mean Discrepancy EMNLP 2020 Support recovery and sup-norm convergence rates for sparse pivotal estimation AISTATS 2020 SURF: A Simple, Universal, Robust, Fast Distribution Learning Algorithm NeurIPS 2020 Surprisal Predicts Code-Switching in Chinese-English Bilingual Text EMNLP 2020 SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence NeurIPS 2020 SVRG for Policy Evaluation with Fewer Gradient Evaluations IJCAI 2020 Switching Poisson Gamma Dynamical Systems IJCAI 2020