Mathematics & Optimization

Stochastic Approximation Approaches to Group Distributionally Robust Optimization NeurIPS 2023 Stochastic Causal Programming for Bounding Treatment Effects CLeaR 2023 Stochastic Contextual Bandits with Long Horizon Rewards AAAI 2023 Stochastic Distributed Optimization under Average Second-order Similarity: Algorithms and Analysis NeurIPS 2023 Stochastic Generative Flow Networks UAI 2023 Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods AISTATS 2023 Stochastic Gradient Succeeds for Bandits ICML 2023 Stochastic Graphical Bandits with Heavy-Tailed Rewards UAI 2023 Stochastic Mirror Descent for Large-Scale Sparse Recovery AISTATS 2023 Stochastic Multi-armed Bandits: Optimal Trade-off among Optimality, Consistency, and Tail Risk NeurIPS 2023 Stochastic Optimization for Spectral Risk Measures AISTATS 2023 Stochastic Optimization under Distributional Drift JMLR 2023 Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms IJCAI 2023 Strategic Apple Tasting NeurIPS 2023 Strategic Behavior in Two-sided Matching Markets with Prediction-enhanced Preference-formation NeurIPS 2023 Strategic Distribution Shift of Interacting Agents via Coupled Gradient Flows NeurIPS 2023 Strategic Facility Location with Clients That Minimize Total Waiting Time AAAI 2023 Strategyproofness and Proportionality in Party-Approval Multiwinner Elections AAAI 2023 Streaming Algorithms and Lower Bounds for Estimating Correlation Clustering Cost NeurIPS 2023 Streaming PCA for Markovian Data NeurIPS 2023 Streaming Submodular Maximization with Differential Privacy ICML 2023 Strivec: Sparse Tri-Vector Radiance Fields ICCV 2023 Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences IJCAI 2023 Structure-Aware Surface Reconstruction via Primitive Assembly ICCV 2023 Structured BFGS Method for Optimal Doubly Stochastic Matrix Approximation AAAI 2023