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)

Asymptotic optimality of adaptive importance sampling NIPS 2018
Phase Retrieval Under a Generative Prior NIPS 2018
Exponentiated Strongly Rayleigh Distributions NIPS 2018
Variational Inference with Tail-adaptive f-Divergence NIPS 2018
Information-theoretic Limits for Community Detection in Network Models NIPS 2018
Dendritic cortical microcircuits approximate the backpropagation algorithm NIPS 2018
Structured Local Minima in Sparse Blind Deconvolution NIPS 2018
Solving Non-smooth Constrained Programs with Lower Complexity than $\mathcal{O}(1/\varepsilon)$: A Primal-Dual Homotopy Smoothing Approach NIPS 2018
Isolating Sources of Disentanglement in Variational Autoencoders NIPS 2018
Simple, Distributed, and Accelerated Probabilistic Programming NIPS 2018
When do random forests fail? NIPS 2018
Out-of-Distribution Detection using Multiple Semantic Label Representations NIPS 2018
First-order Stochastic Algorithms for Escaping From Saddle Points in Almost Linear Time NIPS 2018
cpSGD: Communication-efficient and differentially-private distributed SGD NIPS 2018
Implicit Probabilistic Integrators for ODEs NIPS 2018
Learning convex polytopes with margin NIPS 2018
Distilled Wasserstein Learning for Word Embedding and Topic Modeling NIPS 2018
Variational Learning on Aggregate Outputs with Gaussian Processes NIPS 2018
Adaptation to Easy Data in Prediction with Limited Advice NIPS 2018
Importance Weighting and Variational Inference NIPS 2018
Are ResNets Provably Better than Linear Predictors? NIPS 2018
GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration NIPS 2018
Spectral Signatures in Backdoor Attacks NIPS 2018
Generalized Inverse Optimization through Online Learning NIPS 2018
Sanity Checks for Saliency Maps NIPS 2018