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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)

Variational Inference for sparse network reconstruction from count data ICML 2019 Variational Inference from Ranked Samples with Features ACML 2019 Variational Inference MPC for Bayesian Model-based Reinforcement Learning CoRL 2019 Variational Information Planning for Sequential Decision Making AISTATS 2019 Variational Noise-Contrastive Estimation AISTATS 2019 Variational Optimization Based Reinforcement Learning for Infinite Dimensional Stochastic Systems CoRL 2019 Variational Pretraining for Semi-supervised Text Classification ACL 2019 Variational Regret Bounds for Reinforcement Learning UAI 2019 Variational Russian Roulette for Deep Bayesian Nonparametrics ICML 2019 Variational Smoothing in Recurrent Neural Network Language Models ICLR 2019 Variational Temporal Abstraction NeurIPS 2019 Variational Training for Large-Scale Noisy-OR Bayesian Networks UAI 2019 VC Classes are Adversarially Robustly Learnable, but Only Improperly COLT 2019 Vecalign: Improved Sentence Alignment in Linear Time and Space EMNLP 2019 Vectorized Beam Search for CTC-Attention-Based Speech Recognition Interspeech 2019 Verification of Non-Linear Specifications for Neural Networks ICLR 2019 Verification of RNN-Based Neural Agent-Environment Systems AAAI 2019 Verifying Robustness of Gradient Boosted Models AAAI 2019 Very Hard Electoral Control Problems AAAI 2019 VEST: A System for Vulnerability Exploit Scoring & Timing IJCAI 2019 VIREL: A Variational Inference Framework for Reinforcement Learning NeurIPS 2019 Visionary Security: Using Uncertain Real-Time Information in Signaling Games IJCAI 2019 Visualizing and Understanding the Effectiveness of BERT EMNLP 2019 Visual Tracking via Adaptive Spatially-Regularized Correlation Filters CVPR 2019 ViVoLAB Speaker Diarization System for the DIHARD 2019 Challenge Interspeech 2019