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Optimization@NIPS
We welcome you to participate in the 6th NIPS Workshop on Optimization for Machine Learning, to be held at:
Lake Tahoe, Nevada, USA, Dec 9th, 2013
Accepted Papers
- Mu Li, David Andersen and Alexander Smola. Distributed Delayed Proximal Gradient Methods information on submission
- Chetan Bhole, Justin Domke and Daniel Gildea. Approximate inference using unimodular graphs in dual decomposition
- Braxton Osting and Chris White. Nonnegative Matrix Factorization of Transition Matrices via Eigenvalue Optimization
- Aaditya Ramdas and Aarti Singh. Unifying Stochastic Convex Optimization and Active Learning
- Dhruv Mahajan, Sathiya Keerthi, S Sundararajan and Leon Bottou. A Parallel SGD method with Strong Convergence
- Timothy Hunter, Jerome Thai, Kene Akametalu, Alexandre Bayen and Claire Tomlin. Inverse Covariance Estimation from Data with Missing Values using the Concave-Convex procedure
- Taiji Suzuki. Stochastic Dual Coordinate Ascent with Alternating Direction Method of Multipliers
- Alekh Agarwal, Animashree Anandkumar, Prateek Jain, Praneeth Netrapalli and Rashish Tandon. Recovering sparsely used overcomplete dictionaries via alternating minimization
- Xiaocheng Tang and Katya Scheinberg. Efficient Quasi-Newton Proximal Method for Large Scale Sparse Optimization
- Tom Goldstein, Ernie Esser and Richard Baraniuk. Adaptive Primal Dual Optimization for Image Processing and Learning
- Erik Zawadzki, Geoffrey Gordon and Andre Platzer. A projection algorithm for strictly monotone linear complementarity problems
- Peter Richtarik and Martin Takáč. On Optimal Probabilities in Stochastic Coordinate Descent Methods information
- Brian Guenter, Dong Yu, Adam Eversole, Oleksii Kuchaiev and Michael Seltzer. Stochastic Gradient Descent Algorithm in the Computational Network Toolkit
- Alexandre Passos, Luke Vilnis and Andrew McCallum. Optimization and Learning in Factorie information
- Qi Deng, Jeffrey Ho and Anand Rangarajan. Stochastic Coordinate Descent for Nonsmooth Convex Optimization
- Mohammad Gheshlaghi Azar, Alessandro Lazaric and Emma Brunskill. "God Doesn't Play Dice with the World": Time to Move Beyond i.i.d. Assumption
- Abram Friesen and Pedro Domingos. Nonconvex Optimization Is Combinatorial Optimization