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Optimization

14,207 papers

Papers per year

Papers

Low-Rank Doubly Stochastic Matrix Decomposition for Cluster Analysis JMLR 2016
A New Algorithm and Theory for Penalized Regression-based Clustering JMLR 2016
On the Influence of Momentum Acceleration on Online Learning JMLR 2016
Data-driven Rank Breaking for Efficient Rank Aggregation JMLR 2016
Optimal Learning Rates for Localized SVMs JMLR 2016
Mutual Information Based Matching for Causal Inference with Observational Data JMLR 2016
Modelling Interactions in High-dimensional Data with Backtracking JMLR 2016
A Statistical Perspective on Randomized Sketching for Ordinary Least-Squares JMLR 2016
Newton-Stein Method: An Optimization Method for GLMs via Stein's Lemma JMLR 2016
Approximate Newton Methods for Policy Search in Markov Decision Processes JMLR 2016
Linear Convergence of Randomized Feasible Descent Methods Under the Weak Strong Convexity Assumption JMLR 2016
A Practical Scheme and Fast Algorithm to Tune the Lasso With Optimality Guarantees JMLR 2016
Using Kernel Methods and Model Selection for Prediction of Preterm Birth MLHC 2016
gLOP: the global and Local Penalty for Capturing Predictive Heterogeneity MLHC 2016
Altruistic Scheduling in Multi-Resource Clusters OSDI 2016
Firmament: Fast, Centralized Cluster Scheduling at Scale OSDI 2016
Incremental Consistency Guarantees for Replicated Objects OSDI 2016
FaSST: Fast, Scalable and Simple Distributed Transactions with Two-Sided (RDMA) Datagram RPCs OSDI 2016
CLARINET: WAN-Aware Optimization for Analytics Queries OSDI 2016
Non-Intrusive Performance Profiling for Entire Software Stacks Based on the Flow Reconstruction Principle OSDI 2016
Bayesian Networks: a Combined Tuning Heuristic PGM 2016
Causal Discovery from Subsampled Time Series Data by Constraint Optimization PGM 2016
A Hybrid Causal Search Algorithm for Latent Variable Models PGM 2016
Scalable MAP inference in Bayesian networks based on a Map-Reduce approach PGM 2016
Closed Loop Control of a Tethered Magnetic Capsule Endoscope RSS 2016