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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)

Kernel Trajectory Maps for Multi-Modal Probabilistic Motion Prediction CoRL 2019 Kernel Truncated Randomized Ridge Regression: Optimal Rates and Low Noise Acceleration NeurIPS 2019 KL-Divergence Regularized Deep Neural Network Adaptation for Low-Resource Speaker-Dependent Speech Enhancement Interspeech 2019 KNG: The K-Norm Gradient Mechanism NeurIPS 2019 Knowing When to Stop: Evaluation and Verification of Conformity to Output-Size Specifications CVPR 2019 Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features AISTATS 2019 L2-Nonexpansive Neural Networks ICLR 2019 Label super-resolution networks ICLR 2019 Lagrange Coded Computing: Optimal Design for Resiliency, Security, and Privacy AISTATS 2019 Landmark Ordinal Embedding NeurIPS 2019 Large Margin Softmax Loss for Speaker Verification Interspeech 2019 Large Margin Training for Attention Based End-to-End Speech Recognition Interspeech 2019 Large-Scale Distributed Second-Order Optimization Using Kronecker-Factored Approximate Curvature for Deep Convolutional Neural Networks CVPR 2019 Large Scale Evolving Graphs with Burst Detection IJCAI 2019 Large Scale Graph Learning From Smooth Signals ICLR 2019 Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Deep Reinforcement Learning Framework IJCAI 2019 Large Scale Markov Decision Processes with Changing Rewards NeurIPS 2019 Large Scale Structure of Neural Network Loss Landscapes NeurIPS 2019 Latent Dirichlet Allocation Based Acoustic Data Selection for Automatic Speech Recognition Interspeech 2019 Latent Semantics Encoding for Label Distribution Learning IJCAI 2019 Latent Structure Models for Natural Language Processing ACL 2019 Latent Variable Model for Multi-modal Translation ACL 2019 Layer Trajectory BLSTM Interspeech 2019 Layer-Wise Learning Strategy for Nonparametric Tensor Product Smoothing Spline Regression and Graphical Models JMLR 2019 Lazifying Conditional Gradient Algorithms JMLR 2019