Combined source-channel diversity scheme for image transmission over wireless channels. - Vinod Raman; Kamesh Namuduri (ICC, 2005)

Online Agnostic Multiclass Boosting. - Vinod Raman; Ambuj Tewari (NeurIPS, 2022)

Probabilistically Robust PAC Learning. - Vinod Raman; Unique Subedi; Ambuj Tewari (CoRR, 2022)

Multiclass Online Learning and Uniform Convergence. - Steve Hanneke; Shay Moran; Vinod Raman; Unique Subedi; Ambuj Tewari (COLT, 2023)

On the Learnability of Multilabel Ranking. - Vinod Raman; Unique Subedi; Ambuj Tewari (NeurIPS, 2023)

On Proper Learnability between Average- and Worst-case Robustness. - Vinod Raman; Unique Subedi; Ambuj Tewari (NeurIPS, 2023)

A Characterization of Multilabel Learnability. - Vinod Raman; Unique Subedi; Ambuj Tewari (CoRR, 2023)

A Characterization of Online Multiclass Learnability. - 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)

Multiclass Online Learnability under Bandit Feedback. - Ananth Raman; Vinod Raman; Unique Subedi; Ambuj Tewari (CoRR, 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; Idan Mehalel; Ambuj Tewari (ALT, 2024)

Online Infinite-Dimensional Regression: Learning Linear Operators. - Unique Subedi; Vinod Raman; Ambuj Tewari (ALT, 2024)

Apple Tasting: Combinatorial Dimensions and Minimax Rates. - Vinod Raman; Unique Subedi; Ananth Raman; Ambuj Tewari (COLT, 2024)

Online Learning with Set-valued Feedback. - Vinod Raman; Unique Subedi; Ambuj Tewari (COLT, 2024)

Multiclass Transductive Online Learning. - Steve Hanneke; Vinod Raman; Amirreza Shaeiri; Unique Subedi (NeurIPS, 2024)

Smoothed Online Classification can be Harder than Batch Classification. - Vinod Raman; Unique Subedi; Ambuj Tewari (NeurIPS, 2024)

Online Classification with Predictions. - Vinod Raman; Ambuj Tewari (NeurIPS, 2024)

Generation through the lens of learning theory. - Vinod Raman; Ambuj Tewari (CoRR, 2024)

A Unified Theory of Supervised Online Learnability. - Vinod Raman; Unique Subedi; Ambuj Tewari (ALT, 2025)

Generation through the lens of learning theory. - Vinod Raman; Jiaxun Li; Ambuj Tewari (COLT, 2025)

The Complexity of Sequential Prediction in Dynamical Systems. - Vinod Raman; Unique Subedi; Ambuj Tewari (L4DC, 2025)

Generation from Noisy Examples. - Ananth Raman; Vinod Raman (CoRR, 2025)

Tracking the Best Expert Privately. - Aadirupa Saha; Vinod Raman; Hilal Asi (CoRR, 2025)

ABoN: Adaptive Best-of-N Alignment. - Vinod Raman; Hilal Asi; Satyen Kale (CoRR, 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, 2025)

Faster Rates for Private Adversarial Bandits. - Hilal Asi; Vinod Raman; Kunal Talwar (CoRR, 2025)

Representative Language Generation. - Charlotte Peale; Vinod Raman; Omer Reingold (CoRR, 2025)