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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)

Using Question Answering Rewards to Improve Abstractive Summarization EMNLP 2021 Using Random Effects to Account for High-Cardinality Categorical Features and Repeated Measures in Deep Neural Networks NeurIPS 2021 Using Transposed Convolution for Articulatory-to-Acoustic Conversion from Real-Time MRI Data Interspeech 2021 VaB-AL: Incorporating Class Imbalance and Difficulty With Variational Bayes for Active Learning CVPR 2021 Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory NeurIPS 2021 Validation Free and Replication Robust Volume-based Data Valuation NeurIPS 2021 Value-at-Risk Optimization with Gaussian Processes ICML 2021 Value-aware Approximate Attention EMNLP 2021 Variable Selection with Rigorous Uncertainty Quantification using Deep Bayesian Neural Networks: Posterior Concentration and Bernstein-von Mises Phenomenon AISTATS 2021 Variance-Aware Off-Policy Evaluation with Linear Function Approximation NeurIPS 2021 Variance-dependent best arm identification UAI 2021 Variance Penalized On-Policy and Off-Policy Actor-Critic AAAI 2021 Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference JMLR 2021 Variance Reduced Training with Stratified Sampling for Forecasting Models ICML 2021 Variance reduction in frequency estimators via control variates method UAI 2021 Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums ICML 2021 Variational Bayesian Optimistic Sampling NeurIPS 2021 Variational Bayesian Reinforcement Learning with Regret Bounds NeurIPS 2021 variational combinatorial sequential monte carlo methods for bayesian phylogenetic inference UAI 2021 Variational Continual Bayesian Meta-Learning NeurIPS 2021 Variational Data Assimilation with a Learned Inverse Observation Operator ICML 2021 Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models ICML 2021 Variational Inference for Continuous-Time Switching Dynamical Systems NeurIPS 2021 Variational Inference for Learning Representations of Natural Language Edits AAAI 2021 Variational inference for nonlinear ordinary differential equations AISTATS 2021