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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)

Action Candidate Based Clipped Double Q-learning for Discrete and Continuous Action Tasks AAAI 2021 Activate or Not: Learning Customized Activation CVPR 2021 Activation-level uncertainty in deep neural networks ICLR 2021 Activation Sharing with Asymmetric Paths Solves Weight Transport Problem without Bidirectional Connection NeurIPS 2021 Active Bayesian Assessment of Black-Box Classifiers AAAI 2021 Active Deep Probabilistic Subsampling ICML 2021 Active Feature Acquisition with Generative Surrogate Models ICML 2021 Active Goal Recognition Design IJCAI 2021 Active Latent Space Shape Model: A Bayesian Treatment of Shape Model Adaptation With an Application to Psoriatic Arthritis Radiographs WACV 2021 Active Learning for Bayesian 3D Hand Pose Estimation WACV 2021 Active Learning for Distributionally Robust Level-Set Estimation ICML 2021 Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates EACL 2021 Active Learning under Label Shift AISTATS 2021 Actively Identifying Causal Effects with Latent Variables Given Only Response Variable Observable NeurIPS 2021 Active multi-fidelity Bayesian online changepoint detection UAI 2021 Active Offline Policy Selection NeurIPS 2021 Active Online Learning with Hidden Shifting Domains AISTATS 2021 Active Slices for Sliced Stein Discrepancy ICML 2021 Active Speaker Detection as a Multi-Objective Optimization with Uncertainty-Based Multimodal Fusion Interspeech 2021 ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training ICML 2021 ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning AAAI 2021 AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights ICLR 2021 Adapting to Delays and Data in Adversarial Multi-Armed Bandits ICML 2021 Adapting to function difficulty and growth conditions in private optimization NeurIPS 2021 Adaptive Approximate Policy Iteration AISTATS 2021