Venkatesh Saligrama

Amazon Scholar@Amazon·美国·OpenReview

研究方向

Selective Classification · Resource Constrained Learning · Efficient Inference · Budget Learning · Learning under Abstention · Sample Efficient Learning · Meta-Learning · Domain Adaptation · Few Shot Learning · Zero-Shot Learning

7.6

Linear Transformers Implicitly Discover Unified Numerical Algorithms

NeurIPS 2025Poster

通讯

6.8

Constrained Linear Thompson Sampling

NeurIPS 2025Poster

二作

6.8

GPS: A Probabilistic Distributional Similarity with Gumbel Priors for Set-to-Set Matching

合作者 (18)

Venkatesh Saligrama

Linear Transformers Implicitly Discover Unified Numerical Algorithms

Constrained Linear Thompson Sampling

GPS: A Probabilistic Distributional Similarity with Gumbel Priors for Set-to-Set Matching

Feasible Action Search for Bandit Linear Programs via Thompson Sampling

GRADIENT-OPTIMIZED CONTRASTIVE LEARNING

Time-sensitive Weight Averaging for Practical Temporal Domain Generalization