Stochastic Methods

Chance-constrained quasi-convex optimization with application to data-driven switched systems control L4DC 2021 COKE: Communication-Censored Decentralized Kernel Learning JMLR 2021 Combinatorial Blocking Bandits with Stochastic Delays ICML 2021 Combinatorial Gaussian Process Bandits with Probabilistically Triggered Arms AISTATS 2021 Communication-Efficient Distributed Covariance Sketch, with Application to Distributed PCA JMLR 2021 Consensus-Based Optimization on the Sphere: Convergence to Global Minimizers and Machine Learning JMLR 2021 Constrained Two-step Look-Ahead Bayesian Optimization NeurIPS 2021 Contextual Blocking Bandits AISTATS 2021 Continuized Accelerations of Deterministic and Stochastic Gradient Descents, and of Gossip Algorithms NeurIPS 2021 Continuous-time edge modelling using non-parametric point processes NeurIPS 2021 Convergence behavior of belief propagation: estimating regions of attraction via Lyapunov functions UAI 2021 Convergence of adaptive algorithms for constrained weakly convex optimization NeurIPS 2021 Convergence rates and approximation results for SGD and its continuous-time counterpart COLT 2021 Cooperative and Stochastic Multi-Player Multi-Armed Bandit: Optimal Regret With Neither Communication Nor Collisions COLT 2021 Cooperative Stochastic Bandits with Asynchronous Agents and Constrained Feedback NeurIPS 2021 Corruption-robust exploration in episodic reinforcement learning COLT 2021 Couplings for Multinomial Hamiltonian Monte Carlo AISTATS 2021 Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo JMLR 2021 Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting AAAI 2021 DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization IJCAI 2021 De-randomizing MCMC dynamics with the diffusion Stein operator NeurIPS 2021 Determinantal Beam Search ACL 2021 Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD NeurIPS 2021 Differentiable Quality Diversity NeurIPS 2021 Differentially Private Analysis on Graph Streams AISTATS 2021