Olivia
Online
Foundations of Data Science
@dsfoundations
Official account for the Foundations of Data Science — Virtual Talk Series, a free monthly online seminar.
Joined February 2020
3 Following
1.6K Followers
175 Posts
📢 Our next talk is coming up! On August 12, 11am PT, Dr. Emily Wenger from @DukeU will tell us about "Reclaiming Data Agency in the Age of Ubiquitous Machine Learning".
Details and link: https://t.co/r0nCCJ7CdS
TCS4All Inspiration talk written by Luca Trevisan starts at 12:30 pm Pacific.
Youtube live link: https://t.co/T9FuPp9jjb
Next THIS WEEK in our "Theory of Large ML Models" series: on Wed, May 15 at 2pm PT, Mikhail Belkin (@UCSanDiego) will tell us about “The puzzle of dimensionality and feature learning in neural networks and kernel machines.”
Details: https://t.co/r0nCCJ74ok
Next THIS WEEK in our "Theory of Large ML Models" series: on Wed, May 15 at 2pm PT, Mikhail Belkin (@UCSanDiego) will tell us about “The puzzle of dimensionality and feature learning in neural networks and kernel machines.”
Details: https://t.co/r0nCCJ74ok
Who to follow
RL Theory Virtual Seminars
@RLtheory
Virtual seminar series featuring the latest advances in theoretical reinforcement learning. Seminars (approximately) every Tuesday at 6pm UTC.
Aaron Roth
@Aaroth
CS prof at Penn. Amazon Scholar at AWS. Author of The Ethical Algorithm (w/ Michael Kearns). I study machine learning, privacy, game theory, and uncertainty.
Sham Kakade 
@ShamKakade6
Harvard Professor.
Full stack ML and AI.
Co-director of the Kempner Institute for the Study of Artificial and Natural Intelligence.
Nominations are open for Rising Star Talks at the TCS for All Spotlight Workshop
Applications are open for travel scholarships to STOC 2024
For further information, please see https://t.co/JwBa5o9z4d
Deadline for both is April 28, 2024.
The second talk of 2024 in our "Theory of Large ML Models" series will be by @AlexGDimakis (@UTAustin)! On Monday, Apr 1st at 2pm PT, Alex will tell us about “Deep Generative models and Inverse problems for Signal Reconstruction.”
Free registration: https://t.co/r0nCCJ7CdS
The second talk of 2024 in our "Theory of Large ML Models" series will be by @AlexGDimakis (@UTAustin)! On Monday, Apr 1st at 2pm PT, Alex will tell us about “Deep Generative models and Inverse problems for Signal Reconstruction.”
Free registration: https://t.co/r0nCCJ7CdS
This is on Monday! Register at https://t.co/MhRrNcdKcf
Happy New Year! We're back, w/ our first talk of the year by Sasha Rush (@srush_nlp) from @Cornell in our "Theory of Large ML Models" series.
On Monday Feb 5 at 2pm PT, Sasha will tell us about "Scaling Data-Constrained Language Model"
Free registration: https://t.co/r0nCCJ7CdS
This is on Monday!
Abstract and Zoom details: https://t.co/YON9K5prom
Happy New Year! We're back, w/ our first talk of the year by Sasha Rush (@srush_nlp) from @Cornell in our "Theory of Large ML Models" series.
On Monday Feb 5 at 2pm PT, Sasha will tell us about "Scaling Data-Constrained Language Model"
Free registration: https://t.co/r0nCCJ7CdS
Happy New Year! We're back, w/ our first talk of the year by Sasha Rush (@srush_nlp) from @Cornell in our "Theory of Large ML Models" series.
On Monday Feb 5 at 2pm PT, Sasha will tell us about "Scaling Data-Constrained Language Model"
Free registration: https://t.co/r0nCCJ7CdS
Happy New Year! We're back, w/ our first talk of the year by Sasha Rush (@srush_nlp) from @Cornell in our "Theory of Large ML Models" series.
On Monday Feb 5 at 2pm PT, Sasha will tell us about "Scaling Data-Constrained Language Model"
Free registration: https://t.co/r0nCCJ7CdS
This is this week! Register at https://t.co/r0nCCJ7CdS to attend @boazbaraktcs's talk on "The Uneasy Relation Between Deep Learning and Statistics"!
📢 Our next talk on the "Theory of Large ML Models" will be on Monday, Oct 30, 1pm PT. Boaz Barak (@boazbaraktcs) from @Harvard will tell us about "The Uneasy Relation Between Deep Learning and Statistics".
Free registration: https://t.co/r0nCCJ7CdS
Finally a Tweet that is not about thoroughly depressing world affairs. Excited to give this online talk on Monday 1pm pacific, 4pm eastern
📢 Our next talk on the "Theory of Large ML Models" will be on Monday, Oct 30, 1pm PT. Boaz Barak (@boazbaraktcs) from @Harvard will tell us about "The Uneasy Relation Between Deep Learning and Statistics".
Free registration: https://t.co/r0nCCJ7CdS
Multiple postdoc positions available at the EnCORE Institute in all areas of theoretical foundations of data science. Apply by Jan 1st 2024 https://t.co/Aez4gqd6J8
to work with EnCORE PIs @Aaroth @HamedSHassani @pappasg69 @gmishne @kamalikac @MountainOfMoon @B1ar2n3a and others
@EnCOREInstitut @MIT @Stanford @nyuniversity @Yale Please register before midnight PT to receive the link for tomorrow's talk. (We'll send it then.)
📢 Tuesday, Sept 5th, 11:30am PT! @EnCOREInstitut presents an (online) panel on "Reliability of Large Language Models", ft. Marzyeh Ghassemi (@MIT), James Zou (@Stanford), Ernest Davis (@nyuniversity), and Nisheeth Vishnoi (@Yale)
Free registration: 📋 https://t.co/r0nCCJ7CdS
Please register before midnight PT.
This is tomorrow! Remember to register at
📋 https://t.co/r0nCCJ7CdS
to get the Zoom link!
📢 Tuesday, Sept 5th, 11:30am PT! @EnCOREInstitut presents an (online) panel on "Reliability of Large Language Models", ft. Marzyeh Ghassemi (@MIT), James Zou (@Stanford), Ernest Davis (@nyuniversity), and Nisheeth Vishnoi (@Yale)
Free registration: 📋 https://t.co/r0nCCJ7CdS
📢 Tuesday, Sept 5th, 11:30am PT! @EnCOREInstitut presents an (online) panel on "Reliability of Large Language Models", ft. Marzyeh Ghassemi (@MIT), James Zou (@Stanford), Ernest Davis (@nyuniversity), and Nisheeth Vishnoi (@Yale)
Free registration: 📋 https://t.co/r0nCCJ7CdS
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