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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)

Few-Shot Backdoor Defense Using Shapley Estimation CVPR 2022 (f,Gamma)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics JMLR 2022 Finding Correlated Equilibrium of Constrained Markov Game: A Primal-Dual Approach NeurIPS 2022 Finding Dataset Shortcuts with Grammar Induction EMNLP 2022 Finding Dynamics Preserving Adversarial Winning Tickets AISTATS 2022 Finding Good Configurations of Planar Primitives in Unorganized Point Clouds CVPR 2022 Finding Memo: Extractive Memorization in Constrained Sequence Generation Tasks EMNLP 2022 Finding Nearly Everything within Random Binary Networks AISTATS 2022 Finding Nontrivial Minimum Fixed Points in Discrete Dynamical Systems: Complexity, Special Case Algorithms and Heuristics AAAI 2022 Finding Optimal Arms in Non-stochastic Combinatorial Bandits with Semi-bandit Feedback and Finite Budget NeurIPS 2022 Finding Second-Order Stationary Points in Nonconvex-Strongly-Concave Minimax Optimization NeurIPS 2022 Finding the Dominant Winning Ticket in Pre-Trained Language Models ACL 2022 Fine-Grained Analysis of Stability and Generalization for Modern Meta Learning Algorithms NeurIPS 2022 Fine-grained Differentiable Physics: A Yarn-level Model for Fabrics ICLR 2022 Fine-tuning Language Models over Slow Networks using Activation Quantization with Guarantees NeurIPS 2022 Fine-Tuning Pre-trained Transformers into Decaying Fast Weights EMNLP 2022 FInfer: Frame Inference-Based Deepfake Detection for High-Visual-Quality Videos AAAI 2022 Finite-horizon equilibria for neuro-symbolic concurrent stochastic games UAI 2022 Finite Sample Analysis Of Dynamic Regression Parameter Learning NeurIPS 2022 Finite-Sample Maximum Likelihood Estimation of Location NeurIPS 2022 Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications ICML 2022 Finite-Time Analysis of Adaptive Temporal Difference Learning with Deep Neural Networks NeurIPS 2022 Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits NeurIPS 2022 Fire Together Wire Together: A Dynamic Pruning Approach With Self-Supervised Mask Prediction CVPR 2022 First-Order Convex Fitting and Its Application to Economics and Optimization AAAI 2022