Mathematics & Optimization

A Joint Exponential Mechanism For Differentially Private Top-k ICML 2022 A Kernel Two-Sample Test for Functional Data JMLR 2022 A Langevin-like Sampler for Discrete Distributions ICML 2022 A Last Switch Dependent Analysis of Satiation and Seasonality in Bandits AISTATS 2022 Algorithmic Bayesian Persuasion with Combinatorial Actions AAAI 2022 Algorithms for Acyclic Weighted Finite-State Automata with Failure Arcs EMNLP 2022 Algorithms for the Communication of Samples ICML 2022 Algorithms with Prediction Portfolios NeurIPS 2022 Aligning individual brains with fused unbalanced Gromov Wasserstein NeurIPS 2022 AlignQ: Alignment Quantization With ADMM-Based Correlation Preservation CVPR 2022 A Little Charity Guarantees Fair Connected Graph Partitioning AAAI 2022 Allocating Opportunities in a Dynamic Model of Intergenerational Mobility (Extended Abstract) IJCAI 2022 All Politics is Local: Redistricting via Local Fairness NeurIPS 2022 AllSATCC: Boosting AllSAT Solving with Efficient Component Analysis IJCAI 2022 Almost Full EFX Exists for Four Agents AAAI 2022 Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning OSDI 2022 Alternating Mirror Descent for Constrained Min-Max Games NeurIPS 2022 A Lyapunov-Based Methodology for Constrained Optimization with Bandit Feedback AAAI 2022 A Marriage between Adversarial Team Games and 2-player Games: Enabling Abstractions, No-regret Learning, and Subgame Solving ICML 2022 A Momentumized, Adaptive, Dual Averaged Gradient Method JMLR 2022 Amortized Implicit Differentiation for Stochastic Bilevel Optimization ICLR 2022 A Multi-objective / Multi-task Learning Framework Induced by Pareto Stationarity ICML 2022 An α-No-Regret Algorithm For Graphical Bilinear Bandits NeurIPS 2022 An α-regret analysis of Adversarial Bilateral Trade NeurIPS 2022 An Algorithm for Learning Switched Linear Dynamics from Data NeurIPS 2022