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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)

Exploring Question-Specific Rewards for Generating Deep Questions COLING 2020 Exploring Weaknesses of VQA Models through Attribution Driven Insights ACL 2020 Exponential ergodicity of mirror-Langevin diffusions NeurIPS 2020 Exponentiated Gradient Meets Gradient Descent ALT 2020 Extending Learnability to Auxiliary-Input Cryptographic Primitives and Meta-PAC Learning COLT 2020 Extracting Chemical-Protein Interactions via Calibrated Deep Neural Network and Self-training EMNLP 2020 Extractive Financial Narrative Summarisation based on DPPs COLING 2020 Extra-gradient with player sampling for faster convergence in n-player games ICML 2020 Extrapolating the profile of a finite population COLT 2020 Extrapolation for Large-batch Training in Deep Learning ICML 2020 Extrapolation Towards Imaginary 0-Nearest Neighbour and Its Improved Convergence Rate NeurIPS 2020 Extreme Tensoring for Low-Memory Preconditioning ICLR 2020 F0 Patterns in Mandarin Statements of Mandarin and Cantonese Speakers Interspeech 2020 F1 is Not Enough! Models and Evaluation Towards User-Centered Explainable Question Answering EMNLP 2020 Factor Graph Grammars NeurIPS 2020 Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series AAAI 2020 Fairness constraints can help exact inference in structured prediction NeurIPS 2020 Fairness in Streaming Submodular Maximization: Algorithms and Hardness NeurIPS 2020 Fair Performance Metric Elicitation NeurIPS 2020 Fair Procedures for Fair Stable Marriage Outcomes AAAI 2020 Fair regression via plug-in estimator and recalibration with statistical guarantees NeurIPS 2020 Falcon: Fast Spectral Inference on Encrypted Data NeurIPS 2020 Familywise Error Rate Control by Interactive Unmasking ICML 2020 Fantastic Generalization Measures and Where to Find Them ICLR 2020 Fast Adaptive Non-Monotone Submodular Maximization Subject to a Knapsack Constraint NeurIPS 2020