Stochastic Methods

Threshold-Based Responsive Simulated Annealing for Directed Feedback Vertex Set Problem AAAI 2024 Thresholds for Reconstruction of Random Hypergraphs From Graph Projections COLT 2024 Tighter Convergence Bounds for Shuffled SGD via Primal-Dual Perspective NeurIPS 2024 Time-Constrained Robust MDPs NeurIPS 2024 Towards Domain-Specific Network Transport for Distributed DNN Training NSDI 2024 Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits NeurIPS 2024 Towards Robust Learning to Optimize with Theoretical Guarantees CVPR 2024 Towards Running Time Analysis of Interactive Multi-Objective Evolutionary Algorithms AAAI 2024 Towards Stability and Generalization Bounds in Decentralized Minibatch Stochastic Gradient Descent AAAI 2024 Transfer Learning for Latent Variable Network Models NeurIPS 2024 Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression AISTATS 2024 Trust Region Methods for Nonconvex Stochastic Optimization beyond Lipschitz Smoothness AAAI 2024 Tuning-Free Maximum Likelihood Training of Latent Variable Models via Coin Betting AISTATS 2024 Tuning-Free Stochastic Optimization ICML 2024 Two-sided Competing Matching Recommendation Markets With Quota and Complementary Preferences Constraints ICML 2024 Two-timescale Derivative Free Optimization for Performative Prediction with Markovian Data ICML 2024 Uncertainty informed optimal resource allocation with Gaussian process based Bayesian inference L4DC 2024 Understanding Entropic Regularization in GANs JMLR 2024 Understanding Progressive Training Through the Framework of Randomized Coordinate Descent AISTATS 2024 Unified Mechanism-Specific Amplification by Subsampling and Group Privacy Amplification NeurIPS 2024 Universal Exact Compression of Differentially Private Mechanisms NeurIPS 2024 Universality of AdaGrad Stepsizes for Stochastic Optimization: Inexact Oracle, Acceleration and Variance Reduction NeurIPS 2024 User-level Differentially Private Stochastic Convex Optimization: Efficient Algorithms with Optimal Rates AISTATS 2024 Using Surrogates in Covariate-adjusted Response-adaptive Randomization Experiments with Delayed Outcomes NeurIPS 2024 Validating Climate Models with Spherical Convolutional Wasserstein Distance NeurIPS 2024