Foundations of Data Science @dsfoundations
Official account for the Foundations of Data Science — Virtual Talk Series, a free monthly online seminar. sites.google.com/view/dstheory Joined February 2020-
Tweets174
-
Followers2K
-
Following4
-
Likes67
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 sigact.org/tcsforall/ 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: sites.google.com/view/dstheory
This is on Monday! Register at docs.google.com/forms/d/1kYW_q…
This is on Monday! Register at docs.google.com/forms/d/1kYW_q…
This is on Monday! Abstract and Zoom details: dstheory.wordpress.com/2024/01/29/mon…
This is on Monday! Abstract and Zoom details: dstheory.wordpress.com/2024/01/29/mon…
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: sites.google.com/view/dstheory
This is this week! Register at sites.google.com/view/dstheory to attend @boazbaraktcs's talk on "The Uneasy Relation Between Deep Learning and Statistics"!
This is this week! Register at sites.google.com/view/dstheory to attend @boazbaraktcs's talk on "The Uneasy Relation Between Deep Learning and Statistics"!
Finally a Tweet that is not about thoroughly depressing world affairs. Excited to give this online talk on Monday 1pm pacific, 4pm eastern
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: sites.google.com/view/dstheory
Multiple postdoc positions available at the EnCORE Institute in all areas of theoretical foundations of data science. Apply by Jan 1st 2024 encore.ucsd.edu/job-opportunit… to work with EnCORE PIs @Aaroth @HamedSHassani @pappasg69 @gmishne @kamalikac @MountainOfMoon @B1ar2n3a and others
📢 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: 📋 sites.google.com/view/dstheory
This is this week!
📢Our next (last of the series) talk on adversarial streaming will be Tuesday, March 16th! Vladimir Braverman (@RiceUniversity) will tell us about "Adversarial Robustness of Streaming Algorithms through Importance Sampling" Details and link: sites.google.com/view/dstheory/…
Happening tomorrow! Zoom link and details on sites.google.com/view/dstheory/
Happening tomorrow! Zoom link and details on sites.google.com/view/dstheory/
Clément Canonne @ccanonne_
31K Followers 928 Following Senior Lecturer @Sydney_Uni. Postdocs @IBMResearch, @Stanford; PhD @Columbia. Converts ☕ into puns: sometimes theorems. He/him. @[email protected]
Amin Karbasi @aminkarbasi
8K Followers 2K Following Associate Professor at Yale University, staff research scientist at Google.
Maxim Raginsky @mraginsky
8K Followers 2K Following father, academic, raconteur, aging wannabe hipster blog: https://t.co/akk6LCvKw6
Peter Richtarik @peter_richtarik
6K Followers 593 Following Federated Learning Guru. Tweeting since 20.5.2020. Lived in 🇸🇰🇺🇸🇧🇪🇬🇧🇸🇦
Frank Nielsen @FrnkNlsn
23K Followers 1K Following Machine Learning & AI, Information Sciences & Information Geometry, Distances & Statistical models, HPC. "Geometry defines the architecture of spaces" @SonyCSL
Sasho Nikolov (thesas.. @thesasho
4K Followers 432 Following Associate professor at U of T. Computer science and math research: (differentially) private data analysis, geometry, discrepancy, optimization.
Csaba Szepesvari @CsabaSzepesvari
8K Followers 704 Following "If there is not folly in the world, then the world itself is folly. You must understand that mistakes are not always regrets." - Paul Tobin, Bandette🤠
𝖬𝖺𝗁𝖽𝗂 .. @mahdi_tcs
3K Followers 1K Following Theoretical CS prof@ U. Michigan-Ann Arbor. Opinions are mine & may evolve over time. r/t≠endorsement. Policy: I don't interact with anonymous profiles. he/him
Alex Dimakis @AlexGDimakis
13K Followers 2K Following UT Austin Professor. Researcher in Machine Learning and Information Theory. National AI Institute on the Foundations of Machine Learning (IFML) Co-director.
Sam Power @sp_monte_carlo
17K Followers 7K Following Lecturer in Maths & Stats at Bristol. Interested in probabilistic + numerical computation, statistical modelling + inference. (he / him)
Arya Mazumdar @MountainOfMoon
3K Followers 319 Following Professor @UCSanDiego Dy. Director+AD for Research NSF AI Inst https://t.co/wblPm6DhUX, UCSD Site Lead @encoreinstitut Information Theory, Coding Th., Machine Learning
Jason Lee @jasondeanlee
10K Followers 3K Following Associate Professor at Princeton and Research Scientist at Google DeepMind. ML/AI Researcher working on foundations of LLMs and deep learning
Ryan Williams @rrwill.. @rrwilliams
7K Followers 413 Following Professor @MITEECS and @MIT_CSAIL. I study computational complexity, algorithm design, and their math. I'll let you know when P != NP
Rasmus Pagh @RasmusPagh1
2K Followers 374 Following Professor of computer science at @barcdk, University of Copenhagen. Interested in random things and their applications.
TCS+ @TCS_plus
3K Followers 32 Following An online seminar series in theoretical computer science. Carbon-free dissemination of ideas across the globe.
Thomas G. Dietterich @tdietterich
50K Followers 505 Following Distinguished Professor (Emeritus), Oregon State Univ.; Former President, Assoc. for the Adv. of Artificial Intelligence; Robust AI & Comput. Sustainability
Nika Haghtalab @nhaghtal
3K Followers 236 Following Assistant Professor @Berkeley_EECS (ML+Econ+Algorithms). Foundations of Machine Learning, by the people, for the people! Co-founder @let4all.
Stephen Wright @madsjw
2K Followers 1K Following
Damek Davis @damekdavis
3K Followers 639 Following Optimization/ML Learning a little about lean https://t.co/cQ1yukSnEQ
mlecchaslayer156 @mlecchasla37448
97 Followers 3K Following
Michael Lachanski @regressiondisco
472 Followers 3K Following Demographer, Economist, Comp. Soc. Sci - working on Inequality + Org. Demography @ Penn. formerly @Princeton @USCensusBureau https://t.co/OaarG7myGC
stock @stock60691752
8 Followers 57 Following
Barbad @BarbadForoughi
0 Followers 1K Following
The Inductive Economy @IndxEcon
33 Followers 227 Following Explore the Future of Technology, Progress, and Individual Autonomy with @hrorq.
DRAGON ALB @AlexPop35151958
21 Followers 796 Following End. Play --- Space Dropped --- Source Invicta --- Don't Complain --- Classified --- Follow thy Heart - 'ᛂᚢᛍ ⸝⸜ˎ⸜ --- ᛌᛁᛁᚢᛁᛌ
Aprendi na rede @AprendiRede
104 Followers 1K Following
Aadirupa Saha @AadirupaSaha
408 Followers 76 Following Research Interests: Machine Learning - Bandits, Reinforcement Learning, Optimization, Fairness, Privacy.
Maryam Ibrahim Hamza @Maryamihamxerh
205 Followers 448 Following Biochemist | Biotechnologist | Data_Scientist | UI/UX/Graphic_Designer | Fashion_Designer | Content_Creator | Community_Builder | 3MTT_Fellow | Volunteer
Farshid Aghazadeh @PersBov
1K Followers 2K Following Nothing is more difficult to take in hand, more perilous to conduct, or more uncertain in its success, than to take the lead in the introduction of a new order.
Rahul Chouhan @Rahul_Chouhan
16K Followers 5K Following A #DataScience, #MachineLearning and #ArtificialIntelligence Enthusiast. Learning Japanese. Interested in Indian Politics!
Pravesh Biyani @pravesh
3K Followers 2K Following Assoc Prof @iiitd #ML, #publictransit, #education, #IITB Founder of Chartr app This is my diary for my daughter to know more about me once I am gone.
fred @fredboehm1978
84 Followers 444 Following
kraken6293 @arnolmads
18 Followers 846 Following INFP faking INTJ | overachieved underachiever | 💅｜💻-ubernerding｜follow research 以及 记录生活和即兴的回忆和想法｜big fan of HxH ｜Furry maybe…🤔｜发疯自留地｜taken ｜kinky9203➕
abasarakbay @abasarakbay
153 Followers 303 Following
Noam Razin @noamrazin
251 Followers 197 Following Computer Science PhD candidate at Tel Aviv University & @Apple Scholar in AI/ML | Interested in machine/deep learning theory and applications
Lingjing Kong @LingjingKong
57 Followers 645 Following
Bhavya Vasudeva @bhavya_vasudeva
39 Followers 231 Following PhD candidate @CSatUSC | @iitroorkee'20 | Interested in theory of deep learning, optimization and robustness/generalization | she/her
Zhiyong Wang @Zhiyong16403503
391 Followers 2K Following Visiting Ph.D. student at Cornell University. Ph.D. candidate at CUHK. Working on bandits and reinforcement learning theory.
AI for Thinking @AIforThinking
31 Followers 683 Following
Zi-Yuan Liu @zyliutw
48 Followers 567 Following Interested in public-key cryptography, information security, and Badminton🏸 :)
datasciencebrain @datascienc37333
46 Followers 272 Following
Chenxiao Yang @Chenxia58917359
26 Followers 68 Following Hi, this is Chenxiao Yang. I am a second-year Computer Science M.S. student at Shanghai Jiao Tong University.
Wei-Cheng Lee @YerbaMate114514
16 Followers 68 Following
jiahao zhang @jiahaoz21819856
0 Followers 50 Following
Mark Bedaywi @BedaywiMark
22 Followers 201 Following Computer Science student at the University of Toronto. Enjoys probability theory, comic books, jazz, and the oxford comma. 🇨🇦
Pravin Prince @prince_albtrozz
10 Followers 239 Following
Mr. Sir @My2sense_Byron
948 Followers 827 Following Homebody General 👨🏾🚀 PM #eutxo #utxo #FirstPrinciples #dataScienceLearner #econ #accounting #ergo
ABDELLAH NAZZAL @Abdella58644
2 Followers 125 Following
CS Theory Fan @CSTheoryFan
63 Followers 760 Following
IXXI @Ixdata1312
16 Followers 303 Following
TCSGuy @GuyTcs90796
41 Followers 185 Following
Emmanuel Esposito @emmanuelespo
72 Followers 243 Following PhD student in Computer Science at University of Milan @LaStatale & IIT
William Umboh @swumboh
99 Followers 149 Following Lecturer in Computational Theory at the University of Melbourne. I work on approximation and online algorithms for combinatorial optimisation problems.
Yilan Chen @yilanchen06
36 Followers 150 Following CSE PhD student @UCSD interested in deep learning theory, theory for large language models and foundation models
Em Dad @EmDad79577957
148 Followers 339 Following
Leykun Getaneh Gebeye @likutta
125 Followers 705 Following just commit to ur life;all else will follow
Alfemo @AlvaroM75950888
13 Followers 111 Following
Nikhil Reddy @nikhil_reddy_cs
258 Followers 5K Following Ph.D student at the University of Queensland IIT Delhi Research Academy | Research areas: Data science, Computer vision
Maxim Raginsky @mraginsky
8K Followers 2K Following father, academic, raconteur, aging wannabe hipster blog: https://t.co/akk6LCvKw6
TCS+ @TCS_plus
3K Followers 32 Following An online seminar series in theoretical computer science. Carbon-free dissemination of ideas across the globe.
EnCORE Institute @EnCOREInstitut
251 Followers 23 Following The Institute for Emerging CORE Methods in Data Science, or EnCORE, is an NSF TRIPODS Institute, led by UC San Diego, partnering with UPenn, UCLA and UT Austin.Along with it (in case you missed it!) last semester's talks by Aaron Bernstein, Palak Jain and Satchit Sivakumar, Victor Reis, and Hanlin Ren! tcsplus.org/welcome/past-t…
Missed today's talk? Don't worry! Huan Li's talk on "Parallel Approximate Maximum Flow in Near-Linear Work and Polylogarithmic Depth" (along with the slides) is now available on our website: tcsplus.org/welcome/past-t…
Reminder: this is on Wednesday! docs.google.com/forms/d/e/1FAI…
📢 Next week (Wed 03/20) at 10am PT/1pm ET, Huan Li from @Penn will give the first talk of the season, on "Parallel Approximate Maximum Flows in Near-Linear Work and Polylogarithmic Depth." Details: tcsplus.wordpress.com/2024/03/15/tcs… Register (optional): docs.google.com/forms/d/e/1FAI…
And.... we're back! Next talk, March 20! tcsplus.wordpress.com/2024/03/15/tcs…
📢 Next week (Wed 03/20) at 10am PT/1pm ET, Huan Li from @Penn will give the first talk of the season, on "Parallel Approximate Maximum Flows in Near-Linear Work and Polylogarithmic Depth." Details: tcsplus.wordpress.com/2024/03/15/tcs… Register (optional): docs.google.com/forms/d/e/1FAI…
📢 Next week (Wed 12/13) at 10am PT/1pm ET, Aaron Bernstein from @RutgersU will speak on "Negative-Weight Single-Source Shortest Paths in Near-linear Time." Join us for the last TCS+ talk of 2023! Details: tcsplus.wordpress.com/2023/12/06/tcs… Register (optional): docs.google.com/forms/d/e/1FAI…
This is this coming Wednesday. Register at docs.google.com/forms/d/e/1FAI… for the Zoom link and a reminder the day before!
📢 Next week (Wed 11/1) at 10:00am PT, Vector Reis (@UW) will give the second talk of the season, on "The Subspace Flatness Conjecture and Faster Integer Programming." Details: tcsplus.wordpress.com/2023/10/25/tcs… Register (optional): docs.google.com/forms/d/e/1FAI…
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: sites.google.com/view/dstheory
📢 Next week (Wed 11/1) at 10:00am PT, Vector Reis (@UW) will give the second talk of the season, on "The Subspace Flatness Conjecture and Faster Integer Programming." Details: tcsplus.wordpress.com/2023/10/25/tcs… Register (optional): docs.google.com/forms/d/e/1FAI…
Reminder: Hanlin Ren (@dfc7027894e168c)'s talk on "Polynomial-Time Pseudodeterministic Construction of Primes" is this week! Register here: docs.google.com/forms/d/e/1FAI…
📢 Next week (Wed 9/27) at 10:00am PT, Hanlin Ren (@dfc7027894e168c) from @UniofOxford will give the first talk of the season, on "Polynomial-Time Pseudodeterministic Construction of Primes." Details: tcsplus.wordpress.com/2023/09/20/tcs… Register (optional): docs.google.com/forms/d/e/1FAI…
📢 Next week (Wed 9/27) at 10:00am PT, Hanlin Ren (@dfc7027894e168c) from @UniofOxford will give the first talk of the season, on "Polynomial-Time Pseudodeterministic Construction of Primes." Details: tcsplus.wordpress.com/2023/09/20/tcs… Register (optional): docs.google.com/forms/d/e/1FAI…
Looking forward to this!
📢 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: 📋 sites.google.com/view/dstheory
📢 Next week (Wed 4/05) at 10am PT, Yael Kalai (@MSRNE) will speak about "Efficient Verification of Computation on Untrusted Platforms" Details: tcsplus.wordpress.com/2023/03/30/tcs… Register (optional): docs.google.com/forms/d/e/1FAI…
Happening in an hour. Please join to listen to Amit Chakrabarti's take on adversarial streaming @amitc1 . Amit is an amazing speaker!
Happening tomorrow! Zoom link and details on sites.google.com/view/dstheory/
..Ramtin Pedarsani (UCSB), @AryanMokhtari, @thinh_t_doan, Mahnoosh Alizadeh and Tamer Basar. Control+Optimization+Information Theory. More information coming soon. Check out encore.ucsd.edu
Workshop in a workshop: Look out for EnCORE Institute Special Session on Distributed Optimization and Decision Making organized by @amitra_90 Abolfazl Hashemi and @MountainOfMoon in ITA Workshop ita.ucsd.edu/workshop/ featuring talks by R. Srikant (UIUC), Babak Hassibi (Caltech)
Happening this week! Don't miss @ZivScully's talk on "Recent Progress in Queueing and Scheduling Theory (for a TCS Audience)": register here (optional) for an email reminder. docs.google.com/forms/d/e/1FAI…
📢 In 2 weeks (Wed 2/08) at 10am PT, Ziv Scully from @Harvard & @MIT_CSAIL will give the first talk of 2023, on "Recent Progress in Queueing and Scheduling Theory (for a TCS Audience)" More: tcsplus.wordpress.com/2023/01/25/tcs… Register (optional): docs.google.com/forms/d/e/1FAI… for link+reminder
Wednesday, Dec 14th, 2022 — Omri Ben-Eliezer from MIT ift.tt/nkWjVFc
Trends for United States
You might like
