learning algorithm

Beyond Monotonicity: On the Convergence of Learning Algorithms in Standard Auction Games AAAI 2025 Increasing Revenue in Efficient Combinatorial Auctions by Learning to Generate Artificial Competition AAAI 2025 Learning Algorithms for Multiple Instance Regression UAI 2025 Why In-Context Learning Models are Good Few-Shot Learners? ICLR 2025 Equilibrium of Data Markets with Externality ICML 2024 Incentivized Learning in Principal-Agent Bandit Games ICML 2024 More Flexible PAC-Bayesian Meta-Learning by Learning Learning Algorithms ICML 2024 The Role of Learning Algorithms in Collective Action ICML 2024 Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions ICLR 2024 AdvisIL - A Class-Incremental Learning Advisor WACV 2023 Formalizing locality for normative synaptic plasticity models NeurIPS 2023 Is Learning in Games Good for the Learners? NeurIPS 2023 ModelDiff: A Framework for Comparing Learning Algorithms ICML 2023 Most Neural Networks Are Almost Learnable NeurIPS 2023 Statistical Indistinguishability of Learning Algorithms ICML 2023 A Theoretical Perspective on Hyperdimensional Computing (Extended Abstract) IJCAI 2022 On the Impossibility of Learning to Cooperate with Adaptive Partner Strategies in Repeated Games ICML 2022 Peer Prediction for Learning Agents NeurIPS 2022 Recurrent Convolutional Neural Networks Learn Succinct Learning Algorithms NeurIPS 2022 Synergy and Symmetry in Deep Learning: Interactions between the Data, Model, and Inference Algorithm ICML 2022 UniRank: Unimodal Bandit Algorithms for Online Ranking ICML 2022 Convergence Analysis of No-Regret Bidding Algorithms in Repeated Auctions AAAI 2021 Meta Learning Backpropagation And Improving It NeurIPS 2021 Query Complexity of Adversarial Attacks ICML 2021 The Limits of Optimal Pricing in the Dark NeurIPS 2021