Summary of Anyloss: Transforming Classification Metrics Into Loss Functions, by Doheon Han et al.
AnyLoss: Transforming Classification Metrics into Loss Functionsby Doheon Han, Nuno Moniz, Nitesh V ChawlaFirst submitted…
Summary of Iterative Causal Segmentation: Filling the Gap Between Market Segmentation and Marketing Strategy, by Kaihua Ding et al.
Iterative Causal Segmentation: Filling the Gap between Market Segmentation and Marketing Strategyby Kaihua Ding, Jingsong…
Summary of Hc-gae: the Hierarchical Cluster-based Graph Auto-encoder For Graph Representation Learning, by Zhuo Xu et al.
HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learningby Zhuo Xu, Lu Bai, Lixin…
Summary of Policy Gradient Methods For Risk-sensitive Distributional Reinforcement Learning with Provable Convergence, by Minheng Xiao et al.
Policy Gradient Methods for Risk-Sensitive Distributional Reinforcement Learning with Provable Convergenceby Minheng Xiao, Xian Yu,…
Summary of Multicast: Zero-shot Multivariate Time Series Forecasting Using Llms, by Georgios Chatzigeorgakidis et al.
MultiCast: Zero-Shot Multivariate Time Series Forecasting Using LLMsby Georgios Chatzigeorgakidis, Konstantinos Lentzos, Dimitrios SkoutasFirst submitted…
Summary of Fault Tolerant Ml: Efficient Meta-aggregation and Synchronous Training, by Tehila Dahan and Kfir Y. Levy
Fault Tolerant ML: Efficient Meta-Aggregation and Synchronous Trainingby Tehila Dahan, Kfir Y. LevyFirst submitted to…
Summary of Agile: a Novel Reinforcement Learning Framework Of Llm Agents, by Peiyuan Feng et al.
AGILE: A Novel Reinforcement Learning Framework of LLM Agentsby Peiyuan Feng, Yichen He, Guanhua Huang,…
Summary of Large Language Models Can Be Zero-shot Anomaly Detectors For Time Series?, by Sarah Alnegheimish et al.
Large language models can be zero-shot anomaly detectors for time series?by Sarah Alnegheimish, Linh Nguyen,…
Summary of Evaluating Large Language Models For Public Health Classification and Extraction Tasks, by Joshua Harris et al.
Evaluating Large Language Models for Public Health Classification and Extraction Tasksby Joshua Harris, Timothy Laurence,…
Summary of Pragmatic Feature Preferences: Learning Reward-relevant Preferences From Human Input, by Andi Peng and Yuying Sun and Tianmin Shu and David Abel
Pragmatic Feature Preferences: Learning Reward-Relevant Preferences from Human Inputby Andi Peng, Yuying Sun, Tianmin Shu,…