Papers
8,340 papers found
Preconditioning Kernel Matrices
Kurt Cutajar, Michael Osborne, John Cunningham et al.
Predictive Entropy Search for Multi-objective Bayesian Optimization
Daniel Hernandez-Lobato, Jose Hernandez-Lobato, Amar Shah et al.
Pricing a Low-regret Seller
Hoda Heidari, Mohammad Mahdian, Umar Syed et al.
Primal-Dual Rates and Certificates
Celestine Dünner, Simone Forte, Martin Takac et al.
Principal Component Projection Without Principal Component Analysis
Roy Frostig, Cameron Musco, Christopher Musco et al.
Provable Algorithms for Inference in Topic Models
Sanjeev Arora, Rong Ge, Frederic Koehler et al.
Provable Non-convex Phase Retrieval with Outliers: Median TruncatedWirtinger Flow
Huishuai Zhang, Yuejie Chi, Yingbin Liang
Quadratic Optimization with Orthogonality Constraints: Explicit Lojasiewicz Exponent and Linear Convergence of Line-Search Methods
Huikang Liu, Weijie Wu, Anthony Man-Cho So
Recommendations as Treatments: Debiasing Learning and Evaluation
Tobias Schnabel, Adith Swaminathan, Ashudeep Singh et al.
Recovery guarantee of weighted low-rank approximation via alternating minimization
Yuanzhi Li, Yingyu Liang, Andrej Risteski
Recurrent Orthogonal Networks and Long-Memory Tasks
Mikael Henaff, Arthur Szlam, Yann LeCun
Recycling Randomness with Structure for Sublinear time Kernel Expansions
Krzysztof Choromanski, Vikas Sindhwani
Representational Similarity Learning with Application to Brain Networks
Urvashi Oswal, Christopher Cox, Matthew Lambon-Ralph et al.
Revisiting Semi-Supervised Learning with Graph Embeddings
Zhilin Yang, William Cohen, Ruslan Salakhudinov
Rich Component Analysis
Rong Ge, James Zou
Robust Monte Carlo Sampling using Riemannian Nosé-Poincaré Hamiltonian Dynamics
Anirban Roychowdhury, Brian Kulis, Srinivasan Parthasarathy
Robust Principal Component Analysis with Side Information
Kai-Yang Chiang, Cho-Jui Hsieh, Inderjit Dhillon
Robust Random Cut Forest Based Anomaly Detection on Streams
Sudipto Guha, Nina Mishra, Gourav Roy et al.
Scalable Discrete Sampling as a Multi-Armed Bandit Problem
Yutian Chen, Zoubin Ghahramani
Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters
Jelena Luketina, Mathias Berglund, Klaus Greff et al.
SDCA without Duality, Regularization, and Individual Convexity
Shai Shalev-Shwartz
SDNA: Stochastic Dual Newton Ascent for Empirical Risk Minimization
Zheng Qu, Peter Richtarik, Martin Takac et al.
Sequence to Sequence Training of CTC-RNNs with Partial Windowing
Kyuyeon Hwang, Wonyong Sung
Shifting Regret, Mirror Descent, and Matrices
Andras Gyorgy, Csaba Szepesvari
Simultaneous Safe Screening of Features and Samples in Doubly Sparse Modeling
Atsushi Shibagaki, Masayuki Karasuyama, Kohei Hatano et al.