algorithm design

AutoCFR: Learning to Design Counterfactual Regret Minimization Algorithms AAAI 2022 Competitive Analysis for Multi-Commodity Ski-Rental Problem IJCAI 2022 Fast Distance Oracles for Any Symmetric Norm NeurIPS 2022 Faster Algorithms for Learning Convex Functions ICML 2022 Near-Optimal Correlation Clustering with Privacy NeurIPS 2022 On Facility Location Problem in the Local Differential Privacy Model AISTATS 2022 Query Processing and Optimization for a Custom Retrieval Language COLING 2022 Backdoor DNFs IJCAI 2021 Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling IJCAI 2021 Extendability of causal graphical models: Algorithms and computational complexity UAI 2021 Faster and Better Simple Temporal Problems AAAI 2021 Improved Algorithms for Allen's Interval Algebra: a Dynamic Programming Approach IJCAI 2021 Learning-to-learn non-convex piecewise-Lipschitz functions NeurIPS 2021 Optimizing Optimizers: Regret-optimal gradient descent algorithms COLT 2021 Outside Computation with Superior Functions NAACL 2021 Parallel Subtrajectory Alignment over Massive-Scale Trajectory Data IJCAI 2021 Training Neural Networks is ER-complete NeurIPS 2021 Designing Committees for Mitigating Biases AAAI 2020 Semi-bandit Optimization in the Dispersed Setting UAI 2020 The Fast Loaded Dice Roller: A Near-Optimal Exact Sampler for Discrete Probability Distributions AISTATS 2020 The Quantile Snapshot Scan: Comparing Quantiles of Spatial Data from Two Snapshots in Time AISTATS 2020 Fairly Allocating Many Goods with Few Queries AAAI 2019 Iterative Classroom Teaching AAAI 2019 BML: A High-performance, Low-cost Gradient Synchronization Algorithm for DML Training NeurIPS 2018 Novel Algorithms for Abstract Dialectical Frameworks based on Complexity Analysis of Subclasses and SAT Solving IJCAI 2018