most citedJohnson-Lindenstrauss Compression with Neuroscience-Based Constraints

23 citations · 37 across the 6 of their papers we have counts for

collaborators

6 papers

q-bio.NC201423 cited

Johnson-Lindenstrauss Compression with Neuroscience-Based Constraints

Zeyuan Allen-Zhu, Rati Gelashvili, Silvio Micali +1

Johnson-Lindenstrauss (JL) matrices implemented by sparse random synaptic connections are thought to be a prime candidate for how convergent pathways in the brain compress informat…

cs.GT20143 cited

Knightian Robustness from Regret Minimization

Alessandro Chiesa, Silvio Micali, Zeyuan Allen Zhu

We consider auctions in which the players have very limited knowledge about their own valuations. Specifically, the only information that a Knightian player has about the profi…

cs.GT20143 cited

Knightian Robustness of Single-Parameter Domains

Alessandro Chiesa, Silvio Micali, Zeyuan Allen Zhu

We consider players that have very limited knowledge about their own valuations. Specifically, the only information that a Knightian player has about the profile of true valuat…

cs.GT20143 cited

Knightian Analysis of the VCG Mechanism in Unrestricted Combinatorial Auctions

Alessandro Chiesa, Silvio Micali, Zeyuan Allen Zhu

We consider auctions in which the players have very limited knowledge about their own valuations. Specifically, the only information that a Knightian player has about the profi…

cs.GT20145 cited

Bridging Utility Maximization and Regret Minimization

Alessandro Chiesa, Silvio Micali, Zeyuan Allen Zhu

We relate the strategy sets that a player ends up with after refining his own strategies according to two very different models of rationality: namely, utility maximization and reg…

cs.GT2014

Knightian Analysis of the Vickrey Mechanism

Alessandro Chiesa, Silvio Micali, Zeyuan Allen Zhu

We analyze the Vickrey mechanism for auctions of multiple identical goods when the players have both Knightian uncertainty over their own valuations and incomplete preferences. In…