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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)

BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search AAAI 2021 Bandit algorithms: Letting go of logarithmic regret for statistical robustness AISTATS 2021 Bandit Convex Optimization in Non-stationary Environments JMLR 2021 Bandit Learning with Delayed Impact of Actions NeurIPS 2021 Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games AAAI 2021 Bandit Phase Retrieval NeurIPS 2021 Bandit Quickest Changepoint Detection NeurIPS 2021 Bandits Don’t Follow Rules: Balancing Multi-Facet Machine Translation with Multi-Armed Bandits EMNLP 2021 Bandits with Knapsacks beyond the Worst Case NeurIPS 2021 Bandits with many optimal arms NeurIPS 2021 Bandits with partially observable confounded data UAI 2021 BASGD: Buffered Asynchronous SGD for Byzantine Learning ICML 2021 BasisDeVAE: Interpretable Simultaneous Dimensionality Reduction and Feature-Level Clustering with Derivative-Based Variational Autoencoders ICML 2021 Batched Thompson Sampling NeurIPS 2021 Batch Value-function Approximation with Only Realizability ICML 2021 Bayes DistNet - A Robust Neural Network for Algorithm Runtime Distribution Predictions AAAI 2021 Bayesian Active Learning by Soft Mean Objective Cost of Uncertainty AISTATS 2021 Bayesian Adaptation for Covariate Shift NeurIPS 2021 Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information ICML 2021 Bayesian Attention Belief Networks ICML 2021 Bayesian Bellman Operators NeurIPS 2021 Bayesian Context Aggregation for Neural Processes ICLR 2021 Bayesian Coresets: Revisiting the Nonconvex Optimization Perspective AISTATS 2021 Bayesian decision-making under misspecified priors with applications to meta-learning NeurIPS 2021 Bayesian Deep Graph Matching for Correspondence Identification in Collaborative Perception RSS 2021