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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
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828
3,646
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2000
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Papers (including subtopics)

Wasserstein Distributionally Robust Inverse Multiobjective Optimization AAAI 2021 Wasserstein Distributional Normalization For Robust Distributional Certification of Noisy Labeled Data ICML 2021 Wasserstein Embedding for Graph Learning ICLR 2021 Wasserstein Flow Meets Replicator Dynamics: A Mean-Field Analysis of Representation Learning in Actor-Critic NeurIPS 2021 Weak learning convex sets under normal distributions COLT 2021 Weight-covariance alignment for adversarially robust neural networks ICML 2021 Weighted model counting with conditional weights for Bayesian networks UAI 2021 Well-tuned Simple Nets Excel on Tabular Datasets NeurIPS 2021 We Need to Consider Disagreement in Evaluation ACL 2021 We Need To Talk About Random Splits EACL 2021 We Need to Talk About train-dev-test Splits EMNLP 2021 WGAN with an Infinitely Wide Generator Has No Spurious Stationary Points ICML 2021 What Are Bayesian Neural Network Posteriors Really Like? ICML 2021 What are the Statistical Limits of Offline RL with Linear Function Approximation? ICLR 2021 What can linearized neural networks actually say about generalization? NeurIPS 2021 What Causes the Test Error? Going Beyond Bias-Variance via ANOVA JMLR 2021 What happens if you treat ordinal ratings as interval data? Human evaluations in NLP are even more under-powered than you think EMNLP 2021 What If We Could Not See? Counterfactual Analysis for Egocentric Action Anticipation IJCAI 2021 What is SemEval evaluating? A Systematic Analysis of Evaluation Campaigns in NLP EMNLP 2021 What Makes Multi-Modal Learning Better than Single (Provably) NeurIPS 2021 What’s in the Box? An Analysis of Undesirable Content in the Common Crawl Corpus ACL 2021 What’s the Context? Implicit and Explicit Assumptions in Model-Based Goal Recognition IJCAI 2021 What they do when in doubt: a study of inductive biases in seq2seq learners ICLR 2021 What training reveals about neural network complexity NeurIPS 2021 When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC ICML 2021