Towards accelerating physical discovery via non-interactive and interactive multi-fidelity Bayesian Optimization: Current challenges and future…
Scaling physics-informed hard constraints with mixture-of-expertsby Nithin Chalapathi, Yiheng Du, Aditi KrishnapriyanFirst submitted to arxiv…
Investigating the Histogram Loss in Regressionby Ehsan Imani, Kai Luedemann, Sam Scholnick-Hughes, Esraa Elelimy, Martha…
Towards an empirical understanding of MoE design choicesby Dongyang Fan, Bettina Messmer, Martin JaggiFirst submitted…
SPRINQL: Sub-optimal Demonstrations driven Offline Imitation Learningby Huy Hoang, Tien Mai, Pradeep VarakanthamFirst submitted to…
SGD with Clipping is Secretly Estimating the Median Gradientby Fabian Schaipp, Guillaume Garrigos, Umut Simsekli,…
Differentiable Mapper For Topological Optimization Of Data Representationby Ziyad Oulhaj, Mathieu Carrière, Bertrand MichelFirst submitted…
Skill or Luck? Return Decomposition via Advantage Functionsby Hsiao-Ru Pan, Bernhard SchölkopfFirst submitted to arxiv…
Fast Rates in Stochastic Online Convex Optimization by Exploiting the Curvature of Feasible Setsby Taira…
Federated Multi-Task Learning on Non-IID Data Silos: An Experimental Studyby Yuwen Yang, Yuxiang Lu, Suizhi…