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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)

A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models AISTATS 2020 Axioms for Learning from Pairwise Comparisons NeurIPS 2020 Background Data Resampling for Outlier-Aware Classification CVPR 2020 BackPACK: Packing more into Backprop ICLR 2020 Bad Global Minima Exist and SGD Can Reach Them NeurIPS 2020 BaKer-Nets: Bayesian Random Kernel Mapping Networks IJCAI 2020 Balancing Training for Multilingual Neural Machine Translation ACL 2020 Bandit Algorithms Based on Thompson Sampling for Bounded Reward Distributions ALT 2020 Bandit Linear Control NeurIPS 2020 Bandit optimisation of functions in the Matérn kernel RKHS AISTATS 2020 Bandit Samplers for Training Graph Neural Networks NeurIPS 2020 Bandits for BMO Functions ICML 2020 Bandits with Adversarial Scaling ICML 2020 Batched Coarse Ranking in Multi-Armed Bandits NeurIPS 2020 Batch Normalization Biases Residual Blocks Towards the Identity Function in Deep Networks NeurIPS 2020 Batch normalization provably avoids ranks collapse for randomly initialised deep networks NeurIPS 2020 Batch Reinforcement Learning with Hyperparameter Gradients ICML 2020 Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation UAI 2020 Batch Stationary Distribution Estimation ICML 2020 BattleNet: Capturing Advantageous Battlefield in RTS Games (Student Abstract) AAAI 2020 Bayes-Adaptive Monte-Carlo Planning and Learning for Goal-Oriented Dialogues AAAI 2020 Bayes Consistency vs. H-Consistency: The Interplay between Surrogate Loss Functions and the Scoring Function Class NeurIPS 2020 Bayes-enhanced Lifelong Attention Networks for Sentiment Classification COLING 2020 Bayesian Adversarial Attack on Graph Neural Networks (Student Abstract) AAAI 2020 Bayesian Adversarial Human Motion Synthesis CVPR 2020