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)

Neural Networks Should Be Wide Enough to Learn Disconnected Decision Regions ICML 2018
SGD and Hogwild! Convergence Without the Bounded Gradients Assumption ICML 2018
On Learning Sparsely Used Dictionaries from Incomplete Samples ICML 2018
State Space Gaussian Processes with Non-Gaussian Likelihood ICML 2018
SparseMAP: Differentiable Sparse Structured Inference ICML 2018
The Uncertainty Bellman Equation and Exploration ICML 2018
Is Generator Conditioning Causally Related to GAN Performance? ICML 2018
Learning in Reproducing Kernel Kreı̆n Spaces ICML 2018
BOCK : Bayesian Optimization with Cylindrical Kernels ICML 2018
Transformation Autoregressive Networks ICML 2018
Design of Experiments for Model Discrimination Hybridising Analytical and Data-Driven Approaches ICML 2018
Learning Localized Spatio-Temporal Models From Streaming Data ICML 2018
Efficient First-Order Algorithms for Adaptive Signal Denoising ICML 2018
Learning Compact Neural Networks with Regularization ICML 2018
Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control ICML 2018
Learning to Speed Up Structured Output Prediction ICML 2018
Stochastic Variance-Reduced Policy Gradient ICML 2018
PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos ICML 2018
High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach ICML 2018
Adaptive Three Operator Splitting ICML 2018
Efficient Neural Architecture Search via Parameters Sharing ICML 2018
Bandits with Delayed, Aggregated Anonymous Feedback ICML 2018
Constant-Time Predictive Distributions for Gaussian Processes ICML 2018
Local Convergence Properties of SAGA/Prox-SVRG and Acceleration ICML 2018
Do Outliers Ruin Collaboration? ICML 2018