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Stochastic Methods

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Papers

SURF: A Simple, Universal, Robust, Fast Distribution Learning Algorithm NIPS 2020
Efficient Parameter Estimation of Truncated Boolean Product Distributions COLT 2020
Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond NIPS 2019
Statistical Windows in Testing for the Initial Distribution of a Reversible Markov Chain AISTATS 2019
Fast Stochastic Algorithms for Low-rank and Nonsmooth Matrix Problems AISTATS 2019
Mixing of Hamiltonian Monte Carlo on strongly log-concave distributions 2: Numerical integrators AISTATS 2019
Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication AISTATS 2019
Bayesian optimisation under uncertain inputs AISTATS 2019
Optimal Minimization of the Sum of Three Convex Functions with a Linear Operator AISTATS 2019
Analysis of Thompson Sampling for Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms AISTATS 2019
Finite-Time Error Bounds For Linear Stochastic Approximation andTD Learning COLT 2019
Small Steps and Giant Leaps: Minimal Newton Solvers for Deep Learning ICCV 2019
Making the Last Iterate of SGD Information Theoretically Optimal COLT 2019
Speech Separation Using Independent Vector Analysis with an Amplitude Variable Gaussian Mixture Model INTERSPEECH 2019
$\mathcal{X}$-Armed Bandits: Optimizing Quantiles, CVaR and Other Risks ACML 2019
Sampling from Stochastic Finite Automata with Applications to CTC Decoding INTERSPEECH 2019
Tight analyses for non-smooth stochastic gradient descent COLT 2019
Robust and Communication-Efficient Collaborative Learning NIPS 2019
Minimax experimental design: Bridging the gap between statistical and worst-case approaches to least squares regression COLT 2019
Evolutionary Manytasking Optimization Based on Symbiosis in Biocoenosis AAAI 2019
Bandits with Feedback Graphs and Switching Costs NIPS 2019
On the Optimality of Perturbations in Stochastic and Adversarial Multi-armed Bandit Problems NIPS 2019
Nonparametric Contextual Bandits in Metric Spaces with Unknown Metric NIPS 2019
Limitations of the empirical Fisher approximation for natural gradient descent NIPS 2019
Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent NIPS 2019