A deep learning classifier for prediction of pathological complete response to neoadjuvant chemotherapy from baseline breast DCE-MRI. - Kavya Ravichandran; Nathaniel Braman; Andrew Janowczyk; Anant Madabhushi (Computer-Aided Diagnosis, 2018)

Implicit Bias of the Step Size in Linear Diagonal Neural Networks. - Mor Shpigel Nacson; Kavya Ravichandran; Nathan Srebro; Daniel Soudry (ICML, 2022)

Testing Tail Weight of a Distribution Via Hazard Rate. - Maryam Aliakbarpour; Amartya Shankha Biswas; Kavya Ravichandran; Ronitt Rubinfeld (ALT, 2023)

Applying statistical learning theory to deep learning. - Cédric Gerbelot; Avetik Karagulyan; Stefani Karp; Kavya Ravichandran; Menachem Stern; Nathan Srebro (CoRR, 2023)

Adaptive Algorithmic Interventions for Escaping Pessimism Traps in Dynamic Sequential Decisions. - Emily Diana; Alexander Williams Tolbert; Kavya Ravichandran; Avrim Blum (CoRR, 2024)

Nearly-tight Approximation Guarantees for the Improving Multi-Armed Bandits Problem. - Avrim Blum; Kavya Ravichandran (ALT, 2025)

A Model for Combinatorial Dictionary Learning and Inference. - Avrim Blum; Kavya Ravichandran (ALT, 2025)

Pessimism Traps and Algorithmic Interventions. - Avrim Blum; Emily Diana; Kavya Ravichandran; Alexander Tolbert (FORC, 2025)

A Theoretical Model for Grit in Pursuing Ambitious Ends. - Avrim Blum; Emily Diana; Kavya Ravichandran; Alexander Williams Tolbert (CoRR, 2025)