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Optimization

14,983 papers

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Papers

Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning ACML 2020
FIREPruning: Learning-based Filter Pruning for Convolutional Neural Network Compression ACML 2020
Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning ACML 2020
Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis ACML 2020
Linearly Convergent Frank-Wolfe with Backtracking Line-Search AISTATS 2020
Fast and Accurate Ranking Regression AISTATS 2020
Tight Analysis of Privacy and Utility Tradeoff in Approximate Differential Privacy AISTATS 2020
Adaptive Online Kernel Sampling for Vertex Classification AISTATS 2020
A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning AISTATS 2020
High Dimensional Robust Sparse Regression AISTATS 2020
Fast Noise Removal for k-Means Clustering AISTATS 2020
Sketching Transformed Matrices with Applications to Natural Language Processing AISTATS 2020
Unconditional Coresets for Regularized Loss Minimization AISTATS 2020
Accelerating Gradient Boosting Machines AISTATS 2020
Accelerated Bayesian Optimisation through Weight-Prior Tuning AISTATS 2020
Variance Reduction for Evolution Strategies via Structured Control Variates AISTATS 2020
Ordered SGD: A New Stochastic Optimization Framework for Empirical Risk Minimization AISTATS 2020
A Unified Theory of SGD: Variance Reduction, Sampling, Quantization and Coordinate Descent AISTATS 2020
AsyncQVI: Asynchronous-Parallel Q-Value Iteration for Discounted Markov Decision Processes with Near-Optimal Sample Complexity AISTATS 2020
Distributionally Robust Formulation and Model Selection for the Graphical Lasso AISTATS 2020
Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs AISTATS 2020
Low-rank regularization and solution uniqueness in over-parameterized matrix sensing AISTATS 2020
Sequential no-Substitution k-Median-Clustering AISTATS 2020
Additive Tree-Structured Covariance Function for Conditional Parameter Spaces in Bayesian Optimization AISTATS 2020
A Fast Anderson-Chebyshev Acceleration for Nonlinear Optimization AISTATS 2020