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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)

A Non-Convex Variational Approach to Photometric Stereo Under Inaccurate Lighting CVPR 2017 A Non-Local Low-Rank Framework for Ultrasound Speckle Reduction CVPR 2017 An Optimal Algorithm for Bandit and Zero-Order Convex Optimization with Two-Point Feedback JMLR 2017 A Novel Symbolic Approach to Verifying Epistemic Properties of Programs IJCAI 2017 A Novel Tensor-Based Video Rain Streaks Removal Approach via Utilizing Discriminatively Intrinsic Priors CVPR 2017 Anti-Glare: Tightly Constrained Optimization for Eyeglass Reflection Removal CVPR 2017 A PAC-Bayesian Analysis of Randomized Learning with Application to Stochastic Gradient Descent NeurIPS 2017 Approximate Large-scale Multiple Kernel k-means Using Deep Neural Network IJCAI 2017 Approximate Newton Methods and Their Local Convergence ICML 2017 Approximate Steepest Coordinate Descent ICML 2017 Approximate Supermodularity Bounds for Experimental Design NeurIPS 2017 Approximating Discrete Probability Distribution of Image Emotions by Multi-Modal Features Fusion IJCAI 2017 Approximation and Convergence Properties of Generative Adversarial Learning NeurIPS 2017 Approximation Bounds for Hierarchical Clustering: Average Linkage, Bisecting K-means, and Local Search NeurIPS 2017 A Principled Framework for Evaluating Summarizers: Comparing Models of Summary Quality against Human Judgments ACL 2017 A Reduction based Method for Coloring Very Large Graphs IJCAI 2017 A Reinforcement Learning Approach to the View Planning Problem CVPR 2017 A Rescoring Approach for Keyword Search Using Lattice Context Information Interspeech 2017 Argument Mining with Structured SVMs and RNNs ACL 2017 A Richer Theory of Convex Constrained Optimization with Reduced Projections and Improved Rates ICML 2017 A Robust Noise Resistant Algorithm for POI Identification from Flickr Data IJCAI 2017 ASAGA: Asynchronous Parallel SAGA AISTATS 2017 A Sample Complexity Measure with Applications to Learning Optimal Auctions NeurIPS 2017 A Scale Free Algorithm for Stochastic Bandits with Bounded Kurtosis NeurIPS 2017 A Second-order Look at Stability and Generalization COLT 2017