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Optimization

14,983 papers

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Papers

Stochastic algorithms with descent guarantees for ICA AISTATS 2019
Sample Complexity of Sinkhorn Divergences AISTATS 2019
Direct Acceleration of SAGA using Sampled Negative Momentum AISTATS 2019
Truncated Back-propagation for Bilevel Optimization AISTATS 2019
Empirical Risk Minimization and Stochastic Gradient Descent for Relational Data AISTATS 2019
Negative Momentum for Improved Game Dynamics AISTATS 2019
Data-dependent compression of random features for large-scale kernel approximation AISTATS 2019
Unsupervised Alignment of Embeddings with Wasserstein Procrustes AISTATS 2019
Sequential Patient Recruitment and Allocation for Adaptive Clinical Trials AISTATS 2019
Probabilistic Forecasting with Spline Quantile Function RNNs AISTATS 2019
Exponential Weights on the Hypercube in Polynomial Time AISTATS 2019
Designing Optimal Binary Rating Systems AISTATS 2019
Learning One-hidden-layer Neural Networks under General Input Distributions AISTATS 2019
Renyi Differentially Private ERM for Smooth Objectives AISTATS 2019
Projection-Free Bandit Convex Optimization AISTATS 2019
Distributed Maximization of "Submodular plus Diversity" Functions for Multi-label Feature Selection on Huge Datasets AISTATS 2019
Noisy Blackbox Optimization using Multi-fidelity Queries: A Tree Search Approach AISTATS 2019
Safe Convex Learning under Uncertain Constraints AISTATS 2019
Distributional reinforcement learning with linear function approximation AISTATS 2019
A Memoization Framework for Scaling Submodular Optimization to Large Scale Problems AISTATS 2019
Modeling simple structures and geometry for better stochastic optimization algorithms AISTATS 2019
Efficient Nonconvex Empirical Risk Minimization via Adaptive Sample Size Methods AISTATS 2019
An Optimal Control Approach to Sequential Machine Teaching AISTATS 2019
An Online Algorithm for Smoothed Regression and LQR Control AISTATS 2019
Parallel Asynchronous Stochastic Coordinate Descent with Auxiliary Variables AISTATS 2019