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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)

White-box Testing of NLP models with Mask Neuron Coverage NAACL 2022 Who Says Elephants Can’t Run: Bringing Large Scale MoE Models into Cloud Scale Production EMNLP 2022 Why do tree-based models still outperform deep learning on typical tabular data? NeurIPS 2022 Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language Generation ACL 2022 Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness AAAI 2022 Why neural networks find simple solutions: The many regularizers of geometric complexity NeurIPS 2022 Why predicting risk can’t identify ‘risk factors’: empirical assessment of model stability in machine learning across observational health databases MLHC 2022 Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power NeurIPS 2022 Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error ICML 2022 Why So Pessimistic? Estimating Uncertainties for Offline RL through Ensembles, and Why Their Independence Matters NeurIPS 2022 Why the Rich Get Richer? On the Balancedness of Random Partition Models ICML 2022 Wide Bayesian neural networks have a simple weight posterior: theory and accelerated sampling ICML 2022 Wide Mean-Field Bayesian Neural Networks Ignore the Data AISTATS 2022 Wide Neural Networks Forget Less Catastrophically ICML 2022 Width is Less Important than Depth in ReLU Neural Networks COLT 2022 Will Bilevel Optimizers Benefit from Loops NeurIPS 2022 Winning the Lottery Ahead of Time: Efficient Early Network Pruning ICML 2022 WordTies: Measuring Word Associations in Language Models via Constrained Sampling EMNLP 2022 Worst-Case Voting When the Stakes Are High AAAI 2022 X-model: Improving Data Efficiency in Deep Learning with A Minimax Model ICLR 2022 XPrompt: Exploring the Extreme of Prompt Tuning EMNLP 2022 YAHPO Gym - An Efficient Multi-Objective Multi-Fidelity Benchmark for Hyperparameter Optimization AutoML 2022 YNU-HPCC at SemEval-2022 Task 6: Transformer-based Model for Intended Sarcasm Detection in English and Arabic SemEval 2022 YNU-HPCC at SemEval-2022 Task 8: Transformer-based Ensemble Model for Multilingual News Article Similarity SemEval 2022 You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction ICLR 2022