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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)

Breaking the √T Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits ICML 2022 Breaking the Convergence Barrier: Optimization via Fixed-Time Convergent Flows AAAI 2022 Bregman Gradient Policy Optimization ICLR 2022 Bregman Neural Networks ICML 2022 Bregman Power k-Means for Clustering Exponential Family Data ICML 2022 Bregman Proximal Langevin Monte Carlo via Bregman-Moreau Envelopes ICML 2022 Bridging Central and Local Differential Privacy in Data Acquisition Mechanisms NeurIPS 2022 Bridging Differential Privacy and Byzantine-Robustness via Model Aggregation IJCAI 2022 Bridging Recommendation and Marketing via Recurrent Intensity Modeling ICLR 2022 Bridging the Gap between Reality and Ideality of Entity Matching: A Revisiting and Benchmark Re-Construction IJCAI 2022 Bridging the Gap: Unifying the Training and Evaluation of Neural Network Binary Classifiers NeurIPS 2022 Bridging the Training-Inference Gap for Dense Phrase Retrieval EMNLP 2022 BRIO: Bringing Order to Abstractive Summarization ACL 2022 Building Robust Ensembles via Margin Boosting ICML 2022 Byzantine Machine Learning Made Easy By Resilient Averaging of Momentums ICML 2022 Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing ICLR 2022 Byzantine-tolerant distributed multiclass sparse linear discriminant analysis UAI 2022 C2AM Loss: Chasing a Better Decision Boundary for Long-Tail Object Detection CVPR 2022 C2SLR: Consistency-Enhanced Continuous Sign Language Recognition CVPR 2022 Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever NeurIPS 2022 CADET: Calibrated Anomaly Detection for Mitigating Hardness Bias IJCAI 2022 CAFE: Learning To Condense Dataset by Aligning Features CVPR 2022 Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation ICML 2022 Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees NeurIPS 2022 Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs AAAI 2022