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01/16/2023
Asymptotic normality and optimality in nonsmooth stochastic approximation
In their seminal work, Polyak and Juditsky showed that stochastic approx...
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09/21/2022
A Validation Approach to Over-parameterized Matrix and Image Recovery
In this paper, we study the problem of recovering a low-rank matrix from...
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03/06/2022
Algorithmic Regularization in Model-free Overparametrized Asymmetric Matrix Factorization
We study the asymmetric matrix factorization problem under a natural non...
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10/14/2021
Delphi: Towards Machine Ethics and Norms
What would it take to teach a machine to behave ethically? While broad e...
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10/14/2021
Symbolic Knowledge Distillation: from General Language Models to Commonsense Models
The common practice for training commonsense models has gone from-human-...
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09/23/2021
Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery
We study the robust recovery of a low-rank matrix from sparsely and gros...
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08/26/2021
Subgradient methods near active manifolds: saddle point avoidance, local convergence, and asymptotic normality
Nonsmooth optimization problems arising in practice tend to exhibit bene...
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04/13/2021
"I'm Not Mad": Commonsense Implications of Negation and Contradiction
Natural language inference requires reasoning about contradictions, nega...
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04/21/2020
