Stochastic Methods

Rejection Sampling for Weighted Jaccard Similarity Revisited AAAI 2021 Reliable Intensity Vector Selection for Multi-Source Direction-of-Arrival Estimation Using a Single Acoustic Vector Sensor Interspeech 2021 Replica Exchange for Non-Convex Optimization JMLR 2021 Reserve Price Optimization for First Price Auctions in Display Advertising ICML 2021 Revenue-Incentive Tradeoffs in Dynamic Reserve Pricing ICML 2021 Revenue maximization via machine learning with noisy data NeurIPS 2021 Reward Biased Maximum Likelihood Estimation for Reinforcement Learning L4DC 2021 Reward-Free Model-Based Reinforcement Learning with Linear Function Approximation NeurIPS 2021 Riemannian Stochastic Recursive Momentum Method for non-Convex Optimization IJCAI 2021 Risk Bounds and Calibration for a Smart Predict-then-Optimize Method NeurIPS 2021 Robust Contextual Bandits via Bootstrapping AAAI 2021 Robust Finite-State Controllers for Uncertain POMDPs AAAI 2021 Sample Efficient Decentralized Stochastic Frank-Wolfe Methods for Continuous DR-Submodular Maximization IJCAI 2021 Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC AISTATS 2021 Sampling Partial Acyclic Orientations in Chordal Graphs by the Lovasz Local Lemma (Student Abstract) AAAI 2021 Scalable Intervention Target Estimation in Linear Models NeurIPS 2021 Scaling Neural Tangent Kernels via Sketching and Random Features NeurIPS 2021 Searching for More Efficient Dynamic Programs EMNLP 2021 Secure Deep Graph Generation with Link Differential Privacy IJCAI 2021 Segcache: a memory-efficient and scalable in-memory key-value cache for small objects NSDI 2021 Sequential Random Sampling Revisited: Hidden Shuffle Method AISTATS 2021 Shadow Manifold Hamiltonian Monte Carlo AISTATS 2021 SHPOS: A Theoretical Guaranteed Accelerated Particle Optimization Sampling Method IJCAI 2021 Shuffled Model of Differential Privacy in Federated Learning AISTATS 2021 Sifting through the noise: Universal first-order methods for stochastic variational inequalities NeurIPS 2021