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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)

Efficiently avoiding saddle points with zero order methods: No gradients required NeurIPS 2019 Efficiently escaping saddle points on manifolds NeurIPS 2019 Efficiently Learning Fourier Sparse Set Functions NeurIPS 2019 Efficiently testing local optimality and escaping saddles for ReLU networks ICLR 2019 Efficient Multi-Objective Neural Architecture Search via Lamarckian Evolution ICLR 2019 Efficient Near-Optimal Testing of Community Changes in Balanced Stochastic Block Models NeurIPS 2019 Efficient Neural Architecture Transformation Search in Channel-Level for Object Detection NeurIPS 2019 Efficient Neural Network Verification with Exactness Characterization UAI 2019 Efficient Neutrino Oscillation Parameter Inference with Gaussian Process AAAI 2019 Efficient Nonconvex Empirical Risk Minimization via Adaptive Sample Size Methods AISTATS 2019 Efficient Non-parametric Bayesian Hawkes Processes IJCAI 2019 Efficient online learning with kernels for adversarial large scale problems NeurIPS 2019 Efficient Optimal Approximation of Discrete Random Variables for Estimation of Probabilities of Missing Deadlines AAAI 2019 Efficient optimization of loops and limits with randomized telescoping sums ICML 2019 Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model NeurIPS 2019 Efficient Protocol for Collaborative Dictionary Learning in Decentralized Networks IJCAI 2019 Efficient Regret Minimization Algorithm for Extensive-Form Correlated Equilibrium NeurIPS 2019 Efficient Regularization Parameter Selection for Latent Variable Graphical Models via Bi-Level Optimization IJCAI 2019 Efficient Rematerialization for Deep Networks NeurIPS 2019 Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent NeurIPS 2019 Efficient Solving of Birds of a Feather Puzzles AAAI 2019 Efficient Training on Very Large Corpora via Gramian Estimation ICLR 2019 EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching From Scratch CVPR 2019 ELASTIC: Improving CNNs With Dynamic Scaling Policies CVPR 2019 Election with Bribe-Effect Uncertainty: A Dichotomy Result IJCAI 2019