Machine Learning

Increasing Revenue in Efficient Combinatorial Auctions by Learning to Generate Artificial Competition AAAI 2025 Learning the Complexity of Weakly Noisy Quantum States ICLR 2025 The Development of Hebrew in Antiquity – A Computational Linguistic Study NAACL 2025 Towards an Integrated Methodology of Dating Biblical Texts: The Case of the Book of Jeremiah NAACL 2025 PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices NeurIPS 2024 Generative Adversarial Symmetry Discovery ICML 2023 Learning and Dynamical Models for Sub-seasonal Climate Forecasting: Comparison and Collaboration AAAI 2022 Machine-Learned Prediction Equilibrium for Dynamic Traffic Assignment AAAI 2022 Solving PDE-Constrained Control Problems Using Operator Learning AAAI 2022 Automating Claim Construction in Patent Applications: The CMUmine Dataset EMNLP 2021 Learning-based Support Estimation in Sublinear Time ICLR 2021 Online Algorithms for Multi-shop Ski Rental with Machine Learned Advice NeurIPS 2020 Learning-Based Frequency Estimation Algorithms ICLR 2019 Learning How to Ground a Plan – Partial Grounding in Classical Planning AAAI 2019 Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization AAAI 2019 Learning-Based Abstractions for Nonlinear Constraint Solving IJCAI 2017 Hidden Technical Debt in Machine Learning Systems NeurIPS 2015 Learning to Discover Efficient Mathematical Identities NeurIPS 2014 One Permutation Hashing NeurIPS 2012 Playing Pinball with non-invasive BCI NeurIPS 2008