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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)

Forecasting Sequential Data Using Consistent Koopman Autoencoders ICML 2020 Forgetting Auxiliary Atoms in Forks (Extended Abstract) IJCAI 2020 Formal Limitations on the Measurement of Mutual Information AISTATS 2020 FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis ICML 2020 Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains NeurIPS 2020 Four Things Everyone Should Know to Improve Batch Normalization ICLR 2020 Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference AAAI 2020 Fractional Underdamped Langevin Dynamics: Retargeting SGD with Momentum under Heavy-Tailed Gradient Noise ICML 2020 FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training NeurIPS 2020 Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel AAAI 2020 Frame-Level Signal-to-Noise Ratio Estimation Using Deep Learning Interspeech 2020 Fraunhofer IAIS at FinCausal 2020, Tasks 1 & 2: Using Ensemble Methods and Sequence Tagging to Detect Causality in Financial Documents COLING 2020 Free Energy Wells and Overlap Gap Property in Sparse PCA COLT 2020 Frequency-based Search-control in Dyna ICLR 2020 Frequency Bias in Neural Networks for Input of Non-Uniform Density ICML 2020 Frequency Modulation of Body Waves to Improve Performance of Limbless Robots RSS 2020 Frequentist Regret Bounds for Randomized Least-Squares Value Iteration AISTATS 2020 Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions ICML 2020 FroDO: From Detections to 3D Objects CVPR 2020 From Boltzmann Machines to Neural Networks and Back Again NeurIPS 2020 From ImageNet to Image Classification: Contextualizing Progress on Benchmarks ICML 2020 From Importance Sampling to Doubly Robust Policy Gradient ICML 2020 From Local SGD to Local Fixed-Point Methods for Federated Learning ICML 2020 From Nesterov’s Estimate Sequence to Riemannian Acceleration COLT 2020 From PAC to Instance-Optimal Sample Complexity in the Plackett-Luce Model ICML 2020