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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)

Prediction with Finitely many Errors Almost Surely AISTATS 2021 Predictive Job Scheduling under Uncertain Constraints in Cloud Computing IJCAI 2021 Predictive Learning on Hidden Tree-Structured Ising Models JMLR 2021 Predictive Power of Nearest Neighbors Algorithm under Random Perturbation AISTATS 2021 Preferential Temporal Difference Learning ICML 2021 Prefix-Tuning: Optimizing Continuous Prompts for Generation ACL 2021 Present-Biased Optimization AAAI 2021 Preserved central model for faster bidirectional compression in distributed settings NeurIPS 2021 Pre-training Context and Time Aware Location Embeddings from Spatial-Temporal Trajectories for User Next Location Prediction AAAI 2021 Preventing Overfitting via Sample Reweighting for Recommender System Incremental Update (Student Abstract) AAAI 2021 Prevent the Language Model from being Overconfident in Neural Machine Translation ACL 2021 Primal-dual Learning for the Model-free Risk-constrained Linear Quadratic Regulator L4DC 2021 Primal Wasserstein Imitation Learning ICLR 2021 Principal component analysis in the stochastic differential privacy model UAI 2021 Principal Component Hierarchy for Sparse Quadratic Programs ICML 2021 Principal Subspace Estimation Under Information Diffusion AISTATS 2021 Principled Exploration via Optimistic Bootstrapping and Backward Induction ICML 2021 Prioritized Architecture Sampling With Monto-Carlo Tree Search CVPR 2021 Prioritized Level Replay ICML 2021 Privacy Budget Scheduling OSDI 2021 Privacy-Preserving Voice Anti-Spoofing Using Secure Multi-Party Computation Interspeech 2021 Private Adaptive Gradient Methods for Convex Optimization ICML 2021 Private learning implies quantum stability NeurIPS 2021 Privately Learning Mixtures of Axis-Aligned Gaussians NeurIPS 2021 Privately Publishable Per-instance Privacy NeurIPS 2021