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cs.LG2026
Attention-based representations for multi-task computation
Daniel Hsu, Mingyue Xu
Multi-head attention layers produce vector representations that support multiple downstream tasks. We establish bounds on the number of heads required in two simple and concrete mu…
cs.LG2026
Group-realizable multi-group learning by minimizing empirical risk
Navid Ardeshir, Samuel Deng, Daniel Hsu +1
The sample complexity of multi-group learning is shown to improve in the group-realizable setting over the agnostic setting, even when the family of groups is infinite so long as i…
cs.LG2026
Time-Aware Synthetic Control
Saeyoung Rho, Cyrus Illick, Samhitha Narasipura +3
The synthetic control (SC) framework is widely used for observational causal inference with time-series panel data. SC has been successful in diverse applications, but existing met…