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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Distributional Preference Alignment of LLMs via Optimal Transport

Brian Belgodere, Kristjan Greenewald, Igor Melnyk, Youssef Mroueh, Jiri Navratil, Apoorva Nitsure, Mattia Rigotti, Jarret Ross, Mikhail Yurochkin p104412-104442 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Distributional regression: CRPS-error bounds for model fitting, model selection and convex aggregation

Clément Dombry, Ahmed Zaoui p32678-32704 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Distributional Reinforcement Learning with Regularized Wasserstein Loss

Bei Jiang, Linglong Kong, Wulong Liu, Ke Sun, Yingnan Zhao p63184-63221 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Distributional Successor Features Enable Zero-Shot Policy Optimization

Simon Du, Abhishek Gupta, Tyler Han, Xinqi Wang, Chuning Zhu p124612-124639 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Distributionally Robust Performative Prediction

Yuekai Sun, Songkai Xue p55030-55052 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms

Jose Blanchet, Miao Lu, Tong Zhang, Han Zhong p12528-12580 from Advances in Neural Information Processing Systems 37

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ECOS 2021 Program Organizers

District Energy Systems: First Insights from a High-Efficiency Building Case Study in Germany

Steffen Lauterbach, Christian Rust, Jakob Hahn and Werner Jensch p1446-1455 from 34th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2021)

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ECOS 2024

DISTRICT HEATING SYSTEM ANALYSIS AND DESIGN OPTIMIZATION

Panteleimon Tzouganakis, Maria Fotopoulou, Dimitrios Rakopoulos, Dmytro Romanchenko, Nikolaos Nikolopoulos p1176-1187 from 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024)

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ECOS 2024

DISTRICTGENERATOR: A NOVEL OPEN-SOURCE WEBTOOL TO GENERATE BUILDING-SPECIFIC LOAD PROFILES AND EVALUATE ENERGY SYSTEMS OF RESIDENTIAL DISTRICTS

Joel Schölzel, Sarah Henn, Tobias Beckhölter, Rita Streblow, Dirk Müller, Carla Wüller p1232-1243 from 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024)

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

DistrictNet: Decision-aware learning for geographical districting

Cheikh Ahmed, Alexandre Forel, Axel Parmentier, Thibaut Vidal p128574-128602 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

DiTFastAttn: Attention Compression for Diffusion Transformer Models

Guohao Dai, Pu Lu, Xuefei Ning, Yu Wang, Shengen Yan, Zhihang Yuan, Hanling Zhang, Linfeng Zhang, Tianchen Zhao p1196-1219 from Advances in Neural Information Processing Systems 37

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International Grassland Congress 2023

Diurnal Variation in Forage Nutrient Composition and Metabolic Parameters of Horses Grazing Warm-Season, Perennial Grass-Legume Mixed Pastures

A. C. Vasco, J. Dubeux, L. Sollenberger, M. Wallau, E. Santos, J. Lance, L. Warren, C. Wickens p1419-1422 from XXV International Grassland Congress (IGC 2023)

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