Publications (101)
Quantum advantage in learning from experiments
Hsin-Yuan Huang, Michael Broughton, Jordan Cotler +8
Quantum technology has the potential to revolutionize how we acquire and process experimental data to learn about the physical world. An experimental setup that transduces data fro…
Model Counting of Query Expressions: Limitations of Propositional Methods
Paul Beame, Jerry Li, Sudeepa Roy +1
Query evaluation in tuple-independent probabilistic databases is the problem of computing the probability of an answer to a query given independent probabilities of the individual…
An empirical investigation of the challenges of real-world reinforcement learning
Gabriel Dulac-Arnold, Nir Levine, Daniel J. Mankowitz +4
Reinforcement learning (RL) has proven its worth in a series of artificial domains, and is beginning to show some successes in real-world scenarios. However, much of the research a…
Robust Estimators in High Dimensions without the Computational Intractability
Ilias Diakonikolas, Gautam Kamath, Daniel Kane +3
We study high-dimensional distribution learning in an agnostic setting where an adversary is allowed to arbitrarily corrupt an -fraction of the samples. Such questions…
Fast and Near-Optimal Diagonal Preconditioning
Arun Jambulapati, Jerry Li, Christopher Musco +2
The convergence rates of iterative methods for solving a linear system typically depend on the condition number of the matrix . Preconditioning is a…
AnimeScore: A Preference-Based Dataset and Framework for Evaluating Anime-Like Speech Style
Joonyong Park, Jerry Li
Evaluating 'anime-like' voices currently relies on costly subjective judgments, yet no standardized objective metric exists. A key challenge is that anime-likeness, unlike naturaln…