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)

Deep Neural Networks with Multi-Branch Architectures Are Intrinsically Less Non-Convex AISTATS 2019
Are we there yet? Manifold identification of gradient-related proximal methods AISTATS 2019
Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication AISTATS 2019
A Swiss Army Infinitesimal Jackknife AISTATS 2019
Online Multiclass Boosting with Bandit Feedback AISTATS 2019
Towards Efficient Data Valuation Based on the Shapley Value AISTATS 2019
Bayesian optimisation under uncertain inputs AISTATS 2019
Optimal Minimization of the Sum of Three Convex Functions with a Linear Operator AISTATS 2019
Fast and Faster Convergence of SGD for Over-Parameterized Models and an Accelerated Perceptron AISTATS 2019
No-regret algorithms for online $k$-submodular maximization AISTATS 2019
Lagrange Coded Computing: Optimal Design for Resiliency, Security, and Privacy AISTATS 2019
Subsampled Renyi Differential Privacy and Analytical Moments Accountant AISTATS 2019
Model Consistency for Learning with Mirror-Stratifiable Regularizers AISTATS 2019
From Cost-Sensitive Classification to Tight F-measure Bounds AISTATS 2019
Feature subset selection for the multinomial logit model via mixed-integer optimization AISTATS 2019
Detection of Planted Solutions for Flat Satisfiability Problems AISTATS 2019
Fast Gaussian process based gradient matching for parameter identification in systems of nonlinear ODEs AISTATS 2019
A Continuous-Time View of Early Stopping for Least Squares Regression AISTATS 2019
Towards Clustering High-dimensional Gaussian Mixture Clouds in Linear Running Time AISTATS 2019
Stochastic Gradient Descent with Exponential Convergence Rates of Expected Classification Errors AISTATS 2019
Black Box Quantiles for Kernel Learning AISTATS 2019
Adversarial Variational Optimization of Non-Differentiable Simulators AISTATS 2019
Active Probabilistic Inference on Matrices for Pre-Conditioning in Stochastic Optimization AISTATS 2019
Projection Free Online Learning over Smooth Sets AISTATS 2019
Nonconvex Matrix Factorization from Rank-One Measurements AISTATS 2019