Sequence prediction under a lying oracle
We consider the problem of sequential prediction of an $m$-ary sequence, where at each epoch, (i) the environment selects an outcome from an $m$-ary alphabet, (ii) the learner selects a probability distribution over the same alphabet (unaware of the outcome generated by the environment), and finally, (iii) the learner incurs a cost that depends on the probability assigned to the outcome. The cost function we consider captures the complexity of predicting the outcome generated by the environment, in a scenario where the aforementioned prediction is performed via comparative queries to a lying oracle. We consider both stochastic and adversarial environments, propose algorithms for both sett...
| Authors | Puspabeethi Samanta, Nikhil Karamchandani, Jayakrishnan Nair |
|---|---|
| Primary category | cs.LG |
| Published | 14 August 2026 |
| Last updated at source | 9 September 2026 |
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