Lakshmanan, Laks V. S.

8 publications

ICML 2025 BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute Dujian Ding, Ankur Mallick, Shaokun Zhang, Chi Wang, Daniel Madrigal, Mirian Del Carmen Hipolito Garcia, Menglin Xia, Laks V. S. Lakshmanan, Qingyun Wu, Victor Rühle

AAAI 2025 Hyperparametric Robust and Dynamic Influence Maximization Arkaprava Saha, Bogdan Cautis, Xiaokui Xiao, Laks V. S. Lakshmanan

ICLR 2025 OCCAM: Towards Cost-Efficient and Accuracy-Aware Classification Inference Dujian Ding, Bicheng Xu, Laks V. S. Lakshmanan

ICLR 2024 Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing Dujian Ding, Ankur Mallick, Chi Wang, Robert Sim, Subhabrata Mukherjee, Victor Rühle, Laks V. S. Lakshmanan, Ahmed Hassan Awadallah

TMLR 2024 PASS: Pruning Attention Heads with Almost-Sure Sparsity Targets Dujian Ding, Ganesh Jawahar, Laks V. S. Lakshmanan

IJCAI 2023 KEST: Kernel Distance Based Efficient Self-Training for Improving Controllable Text Generation Yuxi Feng, Xiaoyuan Yi, Laks V. S. Lakshmanan, Xing Xie

AISTATS 2017 Horde of Bandits Using Gaussian Markov Random Fields Sharan Vaswani, Mark Schmidt, Laks V. S. Lakshmanan

ICML 2017 Model-Independent Online Learning for Influence Maximization Sharan Vaswani, Branislav Kveton, Zheng Wen, Mohammad Ghavamzadeh, Laks V. S. Lakshmanan, Mark Schmidt