Summary of Solving Differential Equations with Constrained Learning, by Viggo Moro et al.
Solving Differential Equations with Constrained Learningby Viggo Moro, Luiz F. O. ChamonFirst submitted to arxiv…
Summary of Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning, by Yiqin Lv et al.
Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learningby Yiqin Lv,…
Summary of Vpo: Leveraging the Number Of Votes in Preference Optimization, by Jae Hyeon Cho et al.
VPO: Leveraging the Number of Votes in Preference Optimizationby Jae Hyeon Cho, Minkyung Park, Byung-Jun…
Summary of Solving Minimum-cost Reach Avoid Using Reinforcement Learning, by Oswin So et al.
Solving Minimum-Cost Reach Avoid using Reinforcement Learningby Oswin So, Cheng Ge, Chuchu FanFirst submitted to…
Summary of Permutation Invariant Learning with High-dimensional Particle Filters, by Akhilan Boopathy et al.
Permutation Invariant Learning with High-Dimensional Particle Filtersby Akhilan Boopathy, Aneesh Muppidi, Peggy Yang, Abhiram Iyer,…
Summary of Hindsight Experience Replay Accelerates Proximal Policy Optimization, by Douglas C. Crowder et al.
Hindsight Experience Replay Accelerates Proximal Policy Optimizationby Douglas C. Crowder, Darrien M. McKenzie, Matthew L.…
Summary of Llms Are Highly-constrained Biophysical Sequence Optimizers, by Angelica Chen et al.
LLMs are Highly-Constrained Biophysical Sequence Optimizersby Angelica Chen, Samuel D. Stanton, Robert G. Alberstein, Andrew…
Summary of Flow-dpo: Improving Llm Mathematical Reasoning Through Online Multi-agent Learning, by Yihe Deng et al.
Flow-DPO: Improving LLM Mathematical Reasoning through Online Multi-Agent Learningby Yihe Deng, Paul MineiroFirst submitted to…
Summary of Convex Formulations For Training Two-layer Relu Neural Networks, by Karthik Prakhya et al.
Convex Formulations for Training Two-Layer ReLU Neural Networksby Karthik Prakhya, Tolga Birdal, Alp YurtseverFirst submitted…
Summary of Optimizing Posterior Samples For Bayesian Optimization Via Rootfinding, by Taiwo A. Adebiyi and Bach Do and Ruda Zhang
Optimizing Posterior Samples for Bayesian Optimization via Rootfindingby Taiwo A. Adebiyi, Bach Do, Ruda ZhangFirst…