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Optimization

1203 directly classified papers

Papers per year

Papers

Second-Order Stochastic Optimization for Machine Learning in Linear Time JMLR 2017
Prox-PDA: The Proximal Primal-Dual Algorithm for Fast Distributed Nonconvex Optimization and Learning Over Networks ICML 2017
Dissipativity Theory for Nesterov’s Accelerated Method ICML 2017
How to Escape Saddle Points Efficiently ICML 2017
Sketching Meets Random Projection in the Dual: A Provable Recovery Algorithm for Big and High-dimensional Data AISTATS 2017
StingyCD: Safely Avoiding Wasteful Updates in Coordinate Descent ICML 2017
A survey of Algorithms and Analysis for Adaptive Online Learning JMLR 2017
Information-Geometric Optimization Algorithms: A Unifying Picture via Invariance Principles JMLR 2017
Optimized Time Series Filters for Detecting Laughter and Filler Events INTERSPEECH 2017
ADMM without a Fixed Penalty Parameter: Faster Convergence with New Adaptive Penalization NIPS 2017
SnapVX: A Network-Based Convex Optimization Solver JMLR 2017
On Approximation Guarantees for Greedy Low Rank Optimization ICML 2017
Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space ICML 2017
Near-Optimal Design of Experiments via Regret Minimization ICML 2017
Optimizing Differentiable Relaxations of Coreference Evaluation Metrics CONLL 2017
Transfer Learning and Distillation Techniques to Improve the Acoustic Modeling of Low Resource Languages INTERSPEECH 2017
Asynchronous Coordinate Descent under More Realistic Assumptions NIPS 2017
Fast Black-box Variational Inference through Stochastic Trust-Region Optimization NIPS 2017
Fast recovery from a union of subspaces NIPS 2016
Linearized Alternating Direction Method of Multipliers for Constrained Nonconvex Regularized Optimization ACML 2016
On Lloyd’s Algorithm: New Theoretical Insights for Clustering in Practice AISTATS 2016
Using Relevant Public Posts to Enhance News Article Summarization COLING 2016
Combined Optimization and Reinforcement Learning for Manipulation Skills RSS 2016
A Fixed-Point Operator for Inference in Variational Bayesian Latent Gaussian Models AISTATS 2016
Scalable MAP inference in Bayesian networks based on a Map-Reduce approach PGM 2016