Vinod Raman @_vinodraman
Ph.D. candidate @UMich. Research Intern @Google. Previously @Apple. vinodkraman.github.io New York City, NY Joined February 2015-
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Vinod Raman retweeted
Tutorial recordings are live! 🎬 Check out all sessions from our Language Generation tutorial at #COLT2025 on the website. Thanks @_cpeale for the recording + editing magic!
Vinod Raman retweeted
Really excited that I will be co-chairing ALT 2026 with Matus Telgarsky! The conference will be Feb 23-26, 2026 at the Fields Institute in Toronto. Website with cfp is now live---stay tuned for updates Please submit your best work and come join us!
Vinod Raman retweeted
We are organizing tutorial on Language Generation at #COLT 2025! Visit our website (link below) for references and materials; content is updated regularly, so check back for the latest. Organizers: Moses Charikar, Me, Chirag Pabbaraju, @_cpeale, @gvelegkas See you in Lyon!
We are organizing tutorial on Language Generation at #COLT 2025! Visit our website (link below) for references and materials; content is updated regularly, so check back for the latest. Organizers: Moses Charikar, Me, Chirag Pabbaraju, @_cpeale, @gvelegkas See you in Lyon!
Vinod Raman retweeted
Interested in formal approaches to language generation? Join our #COLT2025 tutorial on "generation in the limit" (Kleinberg & Mullainathan, 2024) — a theoretical framework for analyzing the capabilities and limitations of generative models. 🔗 languagegeneration.github.io
Interested in formal approaches to language generation? Join our #COLT2025 tutorial on "generation in the limit" (Kleinberg & Mullainathan, 2024) — a theoretical framework for analyzing the capabilities and limitations of generative models. 🔗 languagegeneration.github.io
Vinod Raman retweeted
PAC Learning with Improvements ift.tt/G6CBjbW
Vinod Raman retweeted
Bandit Multiclass List Classification ift.tt/dyl5EMe
Vinod Raman retweeted
On Agnostic PAC Learning in the Small Error Regime ift.tt/xgeHsF0
Vinod Raman retweeted
The Role of Randomness in Stability ift.tt/FIpkgdt
Vinod Raman retweeted
Generation from Noisy Examples ift.tt/YKjGsub
Vinod Raman retweeted
'A Characterization of Multioutput Learnability', by Vinod Raman, Unique Subedi, Ambuj Tewari. jmlr.org/papers/v25/23-… #multilabel #learnability #learnable
Excited to be at #NeurIPS2024 next week! I'm presenting three papers: - Online Classification with Predictions - Smoothed Online Classification can be Harder than Batch Classification - Multiclass Transductive Online Learning Please reach out if you want to chat over coffee!
Vinod Raman retweeted
If you're interested in CS theory and machine learning, come work with Adam Block! To learn more about him - abblock.github.io. For info on our PhD program bit.ly/CSPhDprogram. The deadline is December 15.
Vinod Raman retweeted
Anytime Acceleration of Gradient Descent ift.tt/OZQ3yCv
Vinod Raman retweeted
Sample Compression Scheme Reductions ift.tt/zHNIX8L
Vinod Raman retweeted
Generation through the lens of learning theory ift.tt/phnf1XY
Vinod Raman retweeted
Error Bounds for Learning Fourier Linear Operators ift.tt/XK1NEGg
Vinod Raman retweeted
Ramsey Theorems for Trees and a General 'Private Learning Implies Online Learning' Theorem ift.tt/f9ExZXq
Vinod Raman retweeted
Credit Attribution and Stable Compression ift.tt/pAag8F5
Vinod Raman retweeted
Is Efficient PAC Learning Possible with an Oracle That Responds 'Yes' or 'No'? by @GolowichNoah and @KonstDaskalakis Beautiful results and techniques! arxiv.org/abs/2406.11667
Vinod Raman retweeted
A Theory of Interpretable Approximations ift.tt/0URerAk
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