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Stochastic Methods

2788 directly classified papers

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Papers

Generate Synthetic Text Approximating the Private Distribution with Differential Privacy IJCAI 2024
Contextual Pandora’s Box AAAI 2024
Data-Adaptive Probabilistic Likelihood Approximation for Ordinary Differential Equations AISTATS 2024
A Survey on Multi-player Bandits JMLR 2024
Using Surrogates in Covariate-adjusted Response-adaptive Randomization Experiments with Delayed Outcomes NIPS 2024
Lexicographic Optimization: Algorithms and Stability AISTATS 2024
Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels AISTATS 2024
Understanding Entropic Regularization in GANs JMLR 2024
Don't Compress Gradients in Random Reshuffling: Compress Gradient Differences NIPS 2024
Optimal Mechanism in a Dynamic Stochastic Knapsack Environment AAAI 2024
Understanding Progressive Training Through the Framework of Randomized Coordinate Descent AISTATS 2024
Soft-constrained Schrödinger Bridge: a Stochastic Control Approach AISTATS 2024
High Probability and Risk-Averse Guarantees for a Stochastic Accelerated Primal-Dual Method JMLR 2024
Tuning-Free Maximum Likelihood Training of Latent Variable Models via Coin Betting AISTATS 2024
Higher-Order Causal Message Passing for Experimentation with Complex Interference NIPS 2024
Diagonalisation SGD: Fast & Convergent SGD for Non-Differentiable Models via Reparameterisation and Smoothing AISTATS 2024
Passengers' Safety Matters: Experiences of Deploying a Large-Scale Indoor Delivery Monitoring System NSDI 2024
On the Privacy of Selection Mechanisms with Gaussian Noise AISTATS 2024
From Biased to Unbiased Dynamics: An Infinitesimal Generator Approach NIPS 2024
Subsampling Error in Stochastic Gradient Langevin Diffusions AISTATS 2024
Big Learning Expectation Maximization AAAI 2024
The Choice of Noninformative Priors for Thompson Sampling in Multiparameter Bandit Models AAAI 2024
ServiceLab: Preventing Tiny Performance Regressions at Hyperscale through Pre-Production Testing OSDI 2024
QLABGrad: A Hyperparameter-Free and Convergence-Guaranteed Scheme for Deep Learning AAAI 2024
Online non-parametric likelihood-ratio estimation by Pearson-divergence functional minimization AISTATS 2024