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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)

Effect of Ambient-Intrinsic Dimension Gap on Adversarial Vulnerability AISTATS 2024 Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches AAAI 2024 Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized Smoothing ICML 2024 Efficiency Calibration of Implicit Regularization in Deep Networks via Self-paced Curriculum-Driven Singular Value Selection IJCAI 2024 Efficient Active Learning Halfspaces with Tsybakov Noise: A Non-convex Optimization Approach AISTATS 2024 Efficient Active Manifold Identification via Accelerated Iteratively Reweighted Nuclear Norm Minimization JMLR 2024 Efficient Agnostic Learning with Average Smoothness ALT 2024 Efficient Algorithms for Empirical Group Distributionally Robust Optimization and Beyond ICML 2024 Efficient Algorithms for Learning Monophonic Halfspaces in Graphs COLT 2024 Efficient Algorithms for Non-gaussian Single Index Models with Generative Priors AAAI 2024 Efficient Algorithms for Sum-Of-Minimum Optimization ICML 2024 Efficient and Robust Long-Form Speech Recognition with Hybrid H3-Conformer Interspeech 2024 Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes NeurIPS 2024 Efficient Asynchronous Federated Learning with Prospective Momentum Aggregation and Fine-Grained Correction AAAI 2024 Efficient Backpropagation with Variance Controlled Adaptive Sampling ICLR 2024 Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior ICML 2024 Efficient Centroid-Linkage Clustering NeurIPS 2024 Efficient Conditional Diffusion Model with Probability Flow Sampling for Image Super-resolution AAAI 2024 Efficient Conformal Prediction under Data Heterogeneity AISTATS 2024 Efficient Continual Finite-Sum Minimization ICLR 2024 Efficient Convex Algorithms for Universal Kernel Learning JMLR 2024 Efficient Dataset Distillation via Minimax Diffusion CVPR 2024 Efficient Detection of LLM-generated Texts with a Bayesian Surrogate Model ACL 2024 Efficient Detection of Long Consistent Cycles and its Application to Distributed Synchronization CVPR 2024 Efficient Discrepancy Testing for Learning with Distribution Shift NeurIPS 2024