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Phanideep Gampa
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2020 – today
- 2024
- [i7]Farnoosh Javadi, Phanideep Gampa, Alyssa Woo, Xingxing Geng, Hang Zhang, Jose Sepulveda, Belhassen Bayar, Fei Wang:
LLM-based Weak Supervision Framework for Query Intent Classification in Video Search. CoRR abs/2409.08931 (2024) - 2023
- [c3]Phanideep Gampa, Akash Anil Valsangkar, Shailesh Choubey, Pooja A:
Prioritised Moderation for Online Advertising. CVPR Workshops 2023: 2004-2012 - [i6]Belhassen Bayar, Phanideep Gampa, Ainur Yessenalina, Zhen Wen:
Design Principles of Robust Multi-Armed Bandit Framework in Video Recommendations. CoRR abs/2310.01419 (2023) - [i5]Phanideep Gampa, Farnoosh Javadi, Belhassen Bayar, Ainur Yessenalina:
Multi-Task Learning For Reduced Popularity Bias In Multi-Territory Video Recommendations. CoRR abs/2310.03148 (2023) - 2021
- [c2]Anirudh Goyal, Alex Lamb, Phanideep Gampa, Philippe Beaudoin, Charles Blundell, Sergey Levine, Yoshua Bengio, Michael Curtis Mozer:
Factorizing Declarative and Procedural Knowledge in Structured, Dynamical Environments. ICLR 2021 - [c1]Phanideep Gampa, Sumio Fujita:
BanditRank: Learning to Rank Using Contextual Bandits. PAKDD (3) 2021: 259-271 - [i4]Soham Dan, Phanideep Gampa, Anirbit Mukherjee:
Investigating the locality of neural network training dynamics. CoRR abs/2111.01166 (2021) - 2020
- [i3]Anirudh Goyal, Alex Lamb, Phanideep Gampa, Philippe Beaudoin, Sergey Levine, Charles Blundell, Yoshua Bengio, Michael Mozer:
Object Files and Schemata: Factorizing Declarative and Procedural Knowledge in Dynamical Systems. CoRR abs/2006.16225 (2020)
2010 – 2019
- 2019
- [i2]Phanideep Gampa, Sairam Satwik Kondamudi, Lakshmanan Kailasam:
A Tractable Algorithm For Finite-Horizon Continuous Reinforcement Learning. CoRR abs/1906.11245 (2019) - [i1]Phanideep Gampa, Sumio Fujita:
BanditRank: Learning to Rank Using Contextual Bandits. CoRR abs/1910.10410 (2019)
Coauthor Index
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