Skip to content
conftrace_

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
'5
'10
'15
'20
'25

Papers (including subtopics)

Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization ICML 2022 Queue Up Your Regrets: Achieving the Dynamic Capacity Region of Multiplayer Bandits NeurIPS 2022 RaDur: A Reference-aware and Duration-robust Network for Target Sound Detection Interspeech 2022 RAGO: Recurrent Graph Optimizer for Multiple Rotation Averaging CVPR 2022 Raison d’être of the benchmark dataset: A Survey of Current Practices of Benchmark Dataset Sharing Platforms ACL 2022 Random Effect Bandits AISTATS 2022 Random Graph Matching in Geometric Models: the Case of Complete Graphs COLT 2022 Randomized Sketches for Clustering: Fast and Optimal Kernel k-Means NeurIPS 2022 Randomized Stochastic Gradient Descent Ascent AISTATS 2022 Random Sharpness-Aware Minimization NeurIPS 2022 Random Tensor Theory for Tensor Decomposition AAAI 2022 Random vs. Best-First: Impact of Sampling Strategies on Decision Making in Model-Based Diagnosis AAAI 2022 Rank Diminishing in Deep Neural Networks NeurIPS 2022 Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs JMLR 2022 Ranking-Based Siamese Visual Tracking CVPR 2022 Ranking-Constrained Learning with Rationales for Text Classification ACL 2022 Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives AAAI 2022 Rapid Convergence of Informed Importance Tempering AISTATS 2022 Rapid Locomotion via Reinforcement Learning RSS 2022 Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems NeurIPS 2022 Rare Gems: Finding Lottery Tickets at Initialization NeurIPS 2022 Rare Tokens Degenerate All Tokens: Improving Neural Text Generation via Adaptive Gradient Gating for Rare Token Embeddings ACL 2022 Rashomon Capacity: A Metric for Predictive Multiplicity in Classification NeurIPS 2022 Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning NeurIPS 2022 Rate-Distortion Theoretic Generalization Bounds for Stochastic Learning Algorithms COLT 2022