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Stochastic Methods

2788 directly classified papers

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Papers

Blazing the trails before beating the path: Sample-efficient Monte-Carlo planning NIPS 2016
Probabilistic Linear Multistep Methods NIPS 2016
Sub-sampled Newton Methods with Non-uniform Sampling NIPS 2016
Entropy Coding of Spectral Envelopes for Speech and Audio Coding Using Distribution Quantization INTERSPEECH 2016
AdaDelay: Delay Adaptive Distributed Stochastic Optimization AISTATS 2016
Pseudo-Marginal Slice Sampling AISTATS 2016
(Bandit) Convex Optimization with Biased Noisy Gradient Oracles AISTATS 2016
SPALS: Fast Alternating Least Squares via Implicit Leverage Scores Sampling NIPS 2016
Efficient Nonparametric Smoothness Estimation NIPS 2016
Generalization of ERM in Stochastic Convex Optimization: The Dimension Strikes Back NIPS 2016
Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and Constrained Sampling NIPS 2016
One-vs-Each Approximation to Softmax for Scalable Estimation of Probabilities NIPS 2016
XFT: Practical Fault Tolerance beyond Crashes OSDI 2016
Stochastic Gradient Methods for Distributionally Robust Optimization with f-divergences NIPS 2016
Quantized Random Projections and Non-Linear Estimation of Cosine Similarity NIPS 2016
The Power of Optimization from Samples NIPS 2016
Determinantal Regularization for Ensemble Variable Selection AISTATS 2016
Consistently Estimating Markov Chains with Noisy Aggregate Data AISTATS 2016
Stochastic Gradient Richardson-Romberg Markov Chain Monte Carlo NIPS 2016
Streaming PCA: Matching Matrix Bernstein and Near-Optimal Finite Sample Guarantees for Oja’s Algorithm COLT 2016
Bridging the Gap between Stochastic Gradient MCMC and Stochastic Optimization AISTATS 2016
Reflection, Refraction, and Hamiltonian Monte Carlo NIPS 2015
Theoretical Limits of Speed and Resolution for Kinodynamic Planning in a Poisson Forest RSS 2015
Minimax rates for memory-bounded sparse linear regression COLT 2015
Fast and Memory Optimal Low-Rank Matrix Approximation NIPS 2015