Skip to content
conftrace_

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
'5
'10
'15
'20
'25

Papers (including subtopics)

A Higher-Order Kolmogorov-Smirnov Test AISTATS 2019 A Highly Efficient Distributed Deep Learning System for Automatic Speech Recognition Interspeech 2019 AI at the Margins: Data, Decisions, and Inclusive Social Impact IJCAI 2019 AiD-EM: Adaptive Decision Support for Electricity Markets Negotiations IJCAI 2019 A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations CVPR 2019 A Kernel Loss for Solving the Bellman Equation NeurIPS 2019 A Kernel Multiple Change-point Algorithm via Model Selection JMLR 2019 A Kernel Perspective for Regularizing Deep Neural Networks ICML 2019 A Kernel Theory of Modern Data Augmentation ICML 2019 A large-scale study of the effects of word frequency and predictability in naturalistic reading NAACL 2019 A Latent Variational Framework for Stochastic Optimization NeurIPS 2019 Algorithm-Dependent Generalization Bounds for Overparameterized Deep Residual Networks NeurIPS 2019 Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing NeurIPS 2019 Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees ICLR 2019 Algorithms for Average Regret Minimization AAAI 2019 Algorithms for Estimating Trends in Global Temperature Volatility AAAI 2019 A Lightweight Recurrent Network for Sequence Modeling ACL 2019 Aligning Vector-spaces with Noisy Supervised Lexicon NAACL 2019 A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning NeurIPS 2019 A Linearly Convergent Proximal Gradient Algorithm for Decentralized Optimization NeurIPS 2019 ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA ICLR 2019 A Little Is Enough: Circumventing Defenses For Distributed Learning NeurIPS 2019 Alleviating Label Switching with Optimal Transport NeurIPS 2019 All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously JMLR 2019 All You Need Is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification CVPR 2019