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)

Multiplicative Weights Updates as a distributed constrained optimization algorithm: Convergence to second-order stationary points almost always ICML 2019
Nonparametric Bayesian Deep Networks with Local Competition ICML 2019
Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians ICML 2019
Generalized Majorization-Minimization ICML 2019
The Effect of Network Width on Stochastic Gradient Descent and Generalization: an Empirical Study ICML 2019
Spectral Approximate Inference ICML 2019
Subspace Robust Wasserstein Distances ICML 2019
Collaborative Channel Pruning for Deep Networks ICML 2019
Towards Understanding Knowledge Distillation ICML 2019
On Variational Bounds of Mutual Information ICML 2019
SAGA with Arbitrary Sampling ICML 2019
SGD: General Analysis and Improved Rates ICML 2019
Fault Tolerance in Iterative-Convergent Machine Learning ICML 2019
Nonlinear Distributional Gradient Temporal-Difference Learning ICML 2019
Learning to Collaborate in Markov Decision Processes ICML 2019
Game Theoretic Optimization via Gradient-based Nikaido-Isoda Function ICML 2019
On the Spectral Bias of Neural Networks ICML 2019
Look Ma, No Latent Variables: Accurate Cutset Networks via Compilation ICML 2019
Does Data Augmentation Lead to Positive Margin? ICML 2019
Screening rules for Lasso with non-convex Sparse Regularizers ICML 2019
Topological Data Analysis of Decision Boundaries with Application to Model Selection ICML 2019
Fast Rates for a kNN Classifier Robust to Unknown Asymmetric Label Noise ICML 2019
Adaptive Antithetic Sampling for Variance Reduction ICML 2019
Adversarial Online Learning with noise ICML 2019
Efficient learning of smooth probability functions from Bernoulli tests with guarantees ICML 2019