Vinod Raman

According to our database, Vinod Raman authored at least 35 papers between 2005 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

GroupDPO: Memory efficient Group-wise Direct Preference Optimization.

Jixuan Leng, Si Si, Hsiang-Fu Yu, Vinod Raman, Inderjit S. Dhillon

CoRR, April, 2026

Missing Mass for Differentially Private Domain Discovery.

Travis Dick, Matthew Joseph, Vinod Raman

CoRR, March, 2026

AI-rithmetic.

Alex Bie, Travis Dick, Alex Kulesza, Prabhakar Raghavan, Vinod Raman, Sergei Vassilvitskii

CoRR, February, 2026

On Generation in Metric Spaces.

Jiaxun Li, Vinod Raman, Ambuj Tewari

CoRR, February, 2026

2025

Transductive and Learning-Augmented Online Regression.

Vinod Raman, Shenghao Xie, Samson Zhou

CoRR, October, 2025

Optimal Stopping vs Best-of-N for Inference Time Optimization.

Yusuf Hakan Kalayci, Vinod Raman, Shaddin Dughmi

CoRR, October, 2025

Learning to Choose or Choosing to Learn: Best-of-N vs. Supervised Fine-Tuning for Bit String Generation.

Seamus Somerstep, Vinod Raman, Unique Subedi, Yuekai Sun

CoRR, May, 2025

ABoN: Adaptive Best-of-N Alignment.

Vinod Raman, Hilal Asi, Satyen Kale

CoRR, May, 2025

The Complexity of Sequential Prediction in Dynamical Systems.

Vinod Raman, Unique Subedi, Ambuj Tewari

Proceedings of the 7th Annual Learning for Dynamics & Control Conference, 2025

Generation from Noisy Examples.

Ananth Raman, Vinod Raman

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Representative Language Generation.

Charlotte Peale, Vinod Raman, Omer Reingold

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Faster Rates for Private Adversarial Bandits.

Hilal Asi, Vinod Raman, Kunal Talwar

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Tracking The Best Expert Privately.

Hilal Asi, Vinod Raman, Aadirupa Saha

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Generation through the lens of learning theory.

Vinod Raman, Jiaxun Li, Ambuj Tewari

Proceedings of the Thirty Eighth Annual Conference on Learning Theory, 2025

A Unified Theory of Supervised Online Learnability.

Vinod Raman, Unique Subedi, Ambuj Tewari

Proceedings of the International Conference on Algorithmic Learning Theory, 2025

2024

A Characterization of Multioutput Learnability.

Vinod Raman, Unique Subedi, Ambuj Tewari

J. Mach. Learn. Res., 2024

Generation through the lens of learning theory.

Vinod Raman, Ambuj Tewari

CoRR, 2024

Online Classification with Predictions.

Vinod Raman, Ambuj Tewari

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Smoothed Online Classification can be Harder than Batch Classification.

Vinod Raman, Unique Subedi, Ambuj Tewari

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Multiclass Transductive Online Learning.

Steve Hanneke, Vinod Raman, Amirreza Shaeiri, Unique Subedi

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Online Learning with Set-valued Feedback.

Vinod Raman, Unique Subedi, Ambuj Tewari

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

Apple Tasting: Combinatorial Dimensions and Minimax Rates.

Vinod Raman, Unique Subedi, Ananth Raman, Ambuj Tewari

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

Online Infinite-Dimensional Regression: Learning Linear Operators.

Unique Subedi, Vinod Raman, Ambuj Tewari

Proceedings of the International Conference on Algorithmic Learning Theory, 2024

Multiclass Online Learnability under Bandit Feedback.

Ananth Raman, Vinod Raman, Unique Subedi, Idan Mehalel, Ambuj Tewari

Proceedings of the International Conference on Algorithmic Learning Theory, 2024

2023

Revisiting the Learnability of Apple Tasting.

Vinod Raman, Unique Subedi, Ananth Raman, Ambuj Tewari

CoRR, 2023

Multiclass Online Learnability under Bandit Feedback.

Ananth Raman, Vinod Raman, Unique Subedi, Ambuj Tewari

CoRR, 2023

A Combinatorial Characterization of Online Learning Games with Bounded Losses.

Vinod Raman, Unique Subedi, Ambuj Tewari

CoRR, 2023

A Characterization of Online Multiclass Learnability.

Vinod Raman, Unique Subedi, Ambuj Tewari

CoRR, 2023

A Characterization of Multilabel Learnability.

Vinod Raman, Unique Subedi, Ambuj Tewari

CoRR, 2023

On Proper Learnability between Average- and Worst-case Robustness.

Vinod Raman, Unique Subedi, Ambuj Tewari

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On the Learnability of Multilabel Ranking.

Vinod Raman, Unique Subedi, Ambuj Tewari

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multiclass Online Learning and Uniform Convergence.

Steve Hanneke, Shay Moran, Vinod Raman, Unique Subedi, Ambuj Tewari

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022

Probabilistically Robust PAC Learning.

Vinod Raman, Unique Subedi, Ambuj Tewari

CoRR, 2022

Online Agnostic Multiclass Boosting.

Vinod Raman, Ambuj Tewari

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2005

Combined source-channel diversity scheme for image transmission over wireless channels.

Vinod Raman, Kamesh Namuduri

Proceedings of IEEE International Conference on Communications, 2005