activity
20082019
most citedFlexibly Fair Representation Learning by Disentanglement

133 citations · 208 across the 5 of their papers we have counts for

collaborators

6 papers

cs.LG2019133 cited

Flexibly Fair Representation Learning by Disentanglement

Elliot Creager, David Madras, Jörn-Henrik Jacobsen +4

We consider the problem of learning representations that achieve group and subgroup fairness with respect to multiple sensitive attributes. Taking inspiration from the disentangled…

cs.CC2017

Query-to-Communication Lifting for BPP

Mika Göös, Toniann Pitassi, Thomas Watson

For any -bit boolean function , we show that the randomized communication complexity of the composed function , where is an index gadget, is characterized by…

cs.CC20172 cited

Random CNFs are Hard for Cutting Planes

Noah Fleming, Denis Pankratov, Toniann Pitassi +1

The random k-SAT model is the most important and well-studied distribution over k-SAT instances. It is closely connected to statistical physics; it is used as a testbench for satis…

cs.CC20161 cited

Algebraic Proof Complexity: Progress, Frontiers and Challenges

Tonnian Pitassi, Iddo Tzameret

We survey recent progress in the proof complexity of strong proof systems and its connection to algebraic circuit complexity, showing how the synergy between the two gives rise to…

cs.AI201259 cited

Value Elimination: Bayesian Inference via Backtracking Search

Fahiem Bacchus, Shannon Dalmao, Toniann Pitassi

Backtracking search is a powerful algorithmic paradigm that can be used to solve many problems. It is in a certain sense the dual of variable elimination; but on many problems, e.g…

cs.CC200813 cited

Separating NOF communication complexity classes RP and NP

Matei David, Toniann Pitassi

We provide a non-explicit separation of the number-on-forehead communication complexity classes RP and NP when the number of players is up to δlog(n) for any δ<1. Recent lower boun…