A Tractable Algorithm For Finite-Horizon Continuous Reinforcement Learning. - Phanideep Gampa; Sairam Satwik Kondamudi; Lakshmanan Kailasam (CoRR, 2019)

Object Files and Schemata: Factorizing Declarative and Procedural Knowledge in Dynamical Systems. - Anirudh Goyal; Alex Lamb; Phanideep Gampa; Philippe Beaudoin; Sergey Levine; Charles Blundell; Yoshua Bengio; Michael Mozer (CoRR, 2020)

Factorizing Declarative and Procedural Knowledge in Structured, Dynamical Environments. - Anirudh Goyal; Alex Lamb; Phanideep Gampa; Philippe Beaudoin; Charles Blundell; Sergey Levine; Yoshua Bengio; Michael Curtis Mozer (ICLR, 2021)

BanditRank: Learning to Rank Using Contextual Bandits. - Phanideep Gampa; Sumio Fujita (PAKDD (3), 2021)

Investigating the locality of neural network training dynamics. - Soham Dan; Phanideep Gampa; Anirbit Mukherjee (CoRR, 2021)

Prioritised Moderation for Online Advertising. - Phanideep Gampa; Akash Anil Valsangkar; Shailesh Choubey; Pooja A (CVPR Workshops, 2023)

Design Principles of Robust Multi-Armed Bandit Framework in Video Recommendations. - Belhassen Bayar; Phanideep Gampa; Ainur Yessenalina; Zhen Wen (CoRR, 2023)

Multi-Task Learning For Reduced Popularity Bias In Multi-Territory Video Recommendations. - Phanideep Gampa; Farnoosh Javadi; Belhassen Bayar; Ainur Yessenalina (CoRR, 2023)

LLM-based Weak Supervision Framework for Query Intent Classification in Video Search. - Farnoosh Javadi; Phanideep Gampa; Alyssa Woo; Xingxing Geng; Hang Zhang; Jose Sepulveda; Belhassen Bayar; Fei Wang (CoRR, 2024)