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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)

One-Pass Multi-View Learning ACML 2015 On Estimating L_2^2 Divergence AISTATS 2015 On Greedy Maximization of Entropy ICML 2015 On Identifying Good Options under Combinatorially Structured Feedback in Finite Noisy Environments ICML 2015 On Learning Distributions from their Samples COLT 2015 On Linearly Constrained Minimum Variance Beamforming JMLR 2015 Online Density Estimation of Bradley-Terry Models COLT 2015 Online F-Measure Optimization NeurIPS 2015 Online Gradient Boosting NeurIPS 2015 On-Line Learning Algorithms for Path Experts with Non-Additive Losses COLT 2015 Online Learning for Adversaries with Memory: Price of Past Mistakes NeurIPS 2015 Online Learning via Sequential Complexities JMLR 2015 Online Learning with Adversarial Delays NeurIPS 2015 Online Learning with Feedback Graphs: Beyond Bandits COLT 2015 Online Optimization : Competing with Dynamic Comparators AISTATS 2015 Online PCA with Spectral Bounds COLT 2015 Online Planning for Autonomous Running Jumps Over Obstacles in High-Speed Quadrupeds RSS 2015 Online Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach NeurIPS 2015 Online Ranking with Top-1 Feedback AISTATS 2015 Online Sketching Hashing CVPR 2015 Online Tensor Methods for Learning Latent Variable Models JMLR 2015 On some provably correct cases of variational inference for topic models NeurIPS 2015 On Symmetric and Asymmetric LSHs for Inner Product Search ICML 2015 On TD(0) with function approximation: Concentration bounds and a centered variant with exponential convergence ICML 2015 On the Accuracy of Self-Normalized Log-Linear Models NeurIPS 2015