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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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Papers (including subtopics)

High-Order Langevin Diffusion Yields an Accelerated MCMC Algorithm JMLR 2021 High-Performance Large-Scale Image Recognition Without Normalization ICML 2021 High-probability Bounds for Non-Convex Stochastic Optimization with Heavy Tails NeurIPS 2021 High Probability Complexity Bounds for Line Search Based on Stochastic Oracles NeurIPS 2021 Hilbert Sinkhorn Divergence for Optimal Transport CVPR 2021 HMM-Free Encoder Pre-Training for Streaming RNN Transducer Interspeech 2021 HNPE: Leveraging Global Parameters for Neural Posterior Estimation NeurIPS 2021 Hoeffding's Inequality for General Markov Chains and Its Applications to Statistical Learning JMLR 2021 Hogwild! over Distributed Local Data Sets with Linearly Increasing Mini-Batch Sizes AISTATS 2021 Homeomorphic-Invariance of EM: Non-Asymptotic Convergence in KL Divergence for Exponential Families via Mirror Descent AISTATS 2021 Homogeneity Structure Learning in Large-scale Panel Data with Heavy-tailed Errors JMLR 2021 Homomorphic Sensing: Sparsity and Noise ICML 2021 HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders AAAI 2021 HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens CVPR 2021 How Benign is Benign Overfitting ? ICLR 2021 How Certain is Your Transformer? EACL 2021 How Do Adam and Training Strategies Help BNNs Optimization ICML 2021 How Does Fine-tuning Affect the Geometry of Embedding Space: A Case Study on Isotropy EMNLP 2021 How Does Loss Function Affect Generalization Performance of Deep Learning? Application to Human Age Estimation ICML 2021 How Does Mixup Help With Robustness and Generalization? ICLR 2021 How Does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches? AAAI 2021 How Do Neural Sequence Models Generalize? Local and Global Cues for Out-of-Distribution Prediction EMNLP 2021 How Emotionally Stable is ALBERT? Testing Robustness with Stochastic Weight Averaging on a Sentiment Analysis Task EMNLP 2021 How Good (really) are Grammatical Error Correction Systems? EACL 2021 How Hard to Tell? Complexity of Belief Manipulation Through Propositional Announcements IJCAI 2021