Видео ютуба по тегу Ronitt Rubinfeld

Do we have to drown in our data? | Ronitt Rubinfeld | TEDxMIT
Do we have to drown in our data? | Ronitt Rubinfeld | TEDxMIT
Ronitt Rubinfeld: A comedy of errors
Ronitt Rubinfeld: A comedy of errors
Is your distribution in shape? - Ronitt Rubinfeld
Is your distribution in shape? - Ronitt Rubinfeld
Local Computation Algorithms with Ronitt Rubinfeld
Local Computation Algorithms with Ronitt Rubinfeld
TCS+ talk: Ronitt Rubinfeld
TCS+ talk: Ronitt Rubinfeld
Blum on automated program checkers with Ronitt Rubinfeld
Blum on automated program checkers with Ronitt Rubinfeld
DIMACS Sublinear Workshop: Ronitt Rubinfeld - Testing and Correcting Structured Distributions
DIMACS Sublinear Workshop: Ronitt Rubinfeld - Testing and Correcting Structured Distributions
Ronitt Rubinfeld - MIT - Sublinear-Time Algorithms II
Ronitt Rubinfeld - MIT - Sublinear-Time Algorithms II
Ronitt Rubinfeld: In what kind of shape is your distribution?
Ronitt Rubinfeld: In what kind of shape is your distribution?
Prof. Ronitt Rubinfeld (MIT, CSAIL)
Prof. Ronitt Rubinfeld (MIT, CSAIL)
TCS+
TCS+ "Test of Time" talk: Ronitt Rubinfeld (MIT)
UMass Amherst CICS Distinguished Lecture: Ronitt Rubinfeld (MIT)
UMass Amherst CICS Distinguished Lecture: Ronitt Rubinfeld (MIT)
2023 CCSP Workshop - Ronitt Rubinfeld (MIT)
2023 CCSP Workshop - Ronitt Rubinfeld (MIT)
Plenary - Ronitt Rubinfeld, Part 1
Plenary - Ronitt Rubinfeld, Part 1
Local Computation Algorithms
Local Computation Algorithms
Sub-Linear Time Algorithms: Fast, Cheap and (Only a Little) Out of Control
Sub-Linear Time Algorithms: Fast, Cheap and (Only a Little) Out of Control
Local Computation Algorithms
Local Computation Algorithms
Ronitt Rubinfeld, MIT - Distribution Testing via Learning (and Learning via Testing!)
Ronitt Rubinfeld, MIT - Distribution Testing via Learning (and Learning via Testing!)
Plenary - Ronitt Rubinfeld, Part 2
Plenary - Ronitt Rubinfeld, Part 2
Something for Almost Nothing: Advances in Sub-Linear Time Algorithms
Something for Almost Nothing: Advances in Sub-Linear Time Algorithms