conftrace_

Optimization & Theory

36,874 papers (3 classified directly here)

Subtopics

Optimization (14,983) Bayesian Inference (5,566) Learning Theory (5,334) Theory (4,955) Statistical Learning (4,117) Neural Network Optimization (3,649) Stochastic Processes (2,667) Loss Functions (1,162) Distributed Learning (1,135) Stochastic Methods (1,118) Online Algorithms (806) Statistics (684) Information Theory (318) Generalization (220) Sparse Optimization (158) Sample Complexity (99) Game Theory (30) Robust Optimization (17) Optimal Transport (14) Approximation Algorithms (10) Distributed Optimization (8) Convex Optimization (8)

Papers per year

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Papers (including subtopics)

On the Local Hessian in Back-propagation NIPS 2018
Infinite-Horizon Gaussian Processes NIPS 2018
Learning without the Phase: Regularized PhaseMax Achieves Optimal Sample Complexity NIPS 2018
Learning To Learn Around A Common Mean NIPS 2018
Reinforcement Learning with Multiple Experts: A Bayesian Model Combination Approach NIPS 2018
Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization NIPS 2018
Near-Optimal Time and Sample Complexities for Solving Markov Decision Processes with a Generative Model NIPS 2018
Algebraic tests of general Gaussian latent tree models NIPS 2018
Transfer Learning with Neural AutoML NIPS 2018
Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs NIPS 2018
A Unified View of Piecewise Linear Neural Network Verification NIPS 2018
Lifted Weighted Mini-Bucket NIPS 2018
Can We Gain More from Orthogonality Regularizations in Training Deep Networks? NIPS 2018
Scalar Posterior Sampling with Applications NIPS 2018
Online Learning of Quantum States NIPS 2018
Revisiting Decomposable Submodular Function Minimization with Incidence Relations NIPS 2018
Distributed Multi-Player Bandits - a Game of Thrones Approach NIPS 2018
Scaling Gaussian Process Regression with Derivatives NIPS 2018
Sublinear Time Low-Rank Approximation of Distance Matrices NIPS 2018
Estimators for Multivariate Information Measures in General Probability Spaces NIPS 2018
Community Exploration: From Offline Optimization to Online Learning NIPS 2018
Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal Distributions using Simulated Tempering Langevin Monte Carlo NIPS 2018
Unsupervised Image-to-Image Translation Using Domain-Specific Variational Information Bound NIPS 2018
Diminishing Returns Shape Constraints for Interpretability and Regularization NIPS 2018
Breaking the Activation Function Bottleneck through Adaptive Parameterization NIPS 2018