ICML 2023 Workshop MFPL Submissions

Optimal Scalarizations for Sublinear Hypervolume Regret
Qiuyi Zhang
- Published: 29 Jun 2023, Last Modified: 04 Oct 2023
- MFPL Poster
- Readers: Everyone
Fisher-Weighted Merge of Contrastive Learning Models in Sequential Recommendation
Jung Hyun Ryu, JaeHeyoung Jeon, Jewoong Cho, Myungjoo Kang
- Published: 29 Jun 2023, Last Modified: 04 Oct 2023
- MFPL Poster
- Readers: Everyone
Thomas: Learning to Explore Human Preference via Probabilistic Reward Model
Sang T. Truong, Duc Quang Nguyen, Tho Quan, Sanmi Koyejo
- Published: 29 Jun 2023, Last Modified: 04 Oct 2023
- MFPL Poster
- Readers: Everyone
Two-Sided Bandit Learning in Fully-Decentralized Matching Markets
Tejas Pagare, Avishek Ghosh
- Published: 29 Jun 2023, Last Modified: 04 Oct 2023
- MFPL Poster
- Readers: Everyone
Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning
Mitsuhiko Nakamoto, Yuexiang Zhai, Anikait Singh, Max Sobol Mark, Yi Ma, Chelsea Finn, Aviral Kumar, Sergey Levine
- Published: 29 Jun 2023, Last Modified: 04 Oct 2023
- MFPL Poster
- Readers: Everyone
Preferential Multi-Attribute Bayesian Optimization with Application to Exoskeleton Personalization
Raul Astudillo, Kejun Li, Maegan Tucker, Chu Xin Cheng, Aaron Ames, Yisong Yue
- Published: 29 Jun 2023, Last Modified: 04 Oct 2023
- MFPL Poster
- Readers: Everyone
Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games
Yang Cai, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng
- Published: 29 Jun 2023, Last Modified: 04 Oct 2023
- MFPL Poster
- Readers: Everyone
Predict-then-Optimize v/s Probabilistic Approximations: Tackling Uncertainties and Error Propagation
Priya Shanmugasundaram, Saurabh Jha, Kumar Muthuraman
- Published: 29 Jun 2023, Last Modified: 04 Oct 2023
- MFPL Poster
- Readers: Everyone
Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight
Jiacheng Guo, Minshuo Chen, Huan Wang, Caiming Xiong, Mengdi Wang, Yu Bai
- Published: 29 Jun 2023, Last Modified: 04 Oct 2023
- MFPL Poster
- Readers: Everyone
Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial?
Fan Yao, Chuanhao Li, Karthik Abinav Sankararaman, Yiming Liao, Yan Zhu, Qifan Wang, Hongning Wang, Haifeng Xu
- Published: 29 Jun 2023, Last Modified: 04 Oct 2023
- MFPL Poster
- Readers: Everyone
Learning Formal Specifications from Membership and Preference Queries
Ameesh Shah, Marcell Vazquez-Chanlatte, Sebastian Junges, Sanjit A. Seshia
- Published: 29 Jun 2023, Last Modified: 04 Oct 2023
- MFPL Poster
- Readers: Everyone
Kernelized Offline Contextual Dueling Bandits
Viraj Mehta, Ojash Neopane, Vikramjeet Das, Sen Lin, Jeff Schneider, Willie Neiswanger
- Published: 29 Jun 2023, Last Modified: 04 Oct 2023
- MFPL Poster
- Readers: Everyone
Preference Elicitation for Music Recommendations
Ofer Meshi, Jon Feldman, Li Yang, Ben Scheetz, Yanli Cai, Mohammadhossein Bateni, Corbyn Salisbury, Vikram Aggarwal, Craig Boutilier
- Published: 29 Jun 2023, Last Modified: 04 Oct 2023
- MFPL Poster
- Readers: Everyone
SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits
Subhojyoti Mukherjee, Qiaomin Xie, Josiah P. Hanna, Robert D Nowak
- Published: 29 Jun 2023, Last Modified: 04 Oct 2023
- MFPL Poster
- Readers: Everyone
Augmenting Bayesian Optimization with Preference-based Expert Feedback
Daolang Huang, Louis Filstroff, Petrus Mikkola, Runkai Zheng, Milica Todorovic, Samuel Kaski
- Published: 29 Jun 2023, Last Modified: 04 Oct 2023
- MFPL Poster
- Readers: Everyone
Zeroth-Order Optimization Meets Human Feedback: Provable Learning via Ranking Oracles
Zhiwei Tang, Dmitry Rybin, Tsung-Hui Chang
- Published: 29 Jun 2023, Last Modified: 04 Oct 2023
- MFPL Oral
- Readers: Everyone
A Head Start Matters: Dynamic-Calibrated Representation Alignment and Uniformity for Recommendations
Zhongyu Ouyang, Shifu Hou, Chunhui Zhang, Chuxu Zhang, Yanfang Ye
- Published: 29 Jun 2023, Last Modified: 04 Oct 2023
- MFPL Poster
- Readers: Everyone
Robustness of Inverse Reinforcement Learning
Ezgi Korkmaz
- Published: 29 Jun 2023, Last Modified: 04 Oct 2023
- MFPL Poster
- Readers: Everyone
Training Diffusion Models with Reinforcement Learning
Kevin Black, Michael Janner, Yilun Du, Ilya Kostrikov, Sergey Levine
- Published: 29 Jun 2023, Last Modified: 04 Oct 2023
- MFPL Poster
- Readers: Everyone
Optimistic Thompson Sampling for No-Regret Learning in Unknown Games
Yingru Li, Liangqi Liu, Wenqiang Pu, Zhi-Quan Luo
- Published: 29 Jun 2023, Last Modified: 04 Oct 2023
- MFPL Poster
- Readers: Everyone
Extracting Reward Functions from Diffusion Models
Felipe Pinto Coelho Nuti, Tim Franzmeyer, Joao F. Henriques
- Published: 29 Jun 2023, Last Modified: 04 Oct 2023
- MFPL Poster
- Readers: Everyone
Optimizing Chatbot Fallback Intent Selections with Reinforcement Learning
Jeremy Curuksu
- Published: 29 Jun 2023, Last Modified: 04 Oct 2023
- MFPL Poster
- Readers: Everyone
Query-Policy Misalignment in Preference-Based Reinforcement Learning
Xiao Hu, Jianxiong Li, Xianyuan Zhan, Qing-Shan Jia, Ya-Qin Zhang
- Published: 29 Jun 2023, Last Modified: 04 Oct 2023
- MFPL Poster
- Readers: Everyone
Distinguishing Feature Model for Learning From Pairwise Comparisons
Elisha Parhi, Arun Rajkumar
- Published: 29 Jun 2023, Last Modified: 04 Oct 2023
- MFPL Poster
- Readers: Everyone
Specifying Behavior Preference with Tiered Reward Functions
Zhiyuan Zhou, Henry Sowerby, Michael Littman
- Published: 29 Jun 2023, Last Modified: 04 Oct 2023
- MFPL Poster
- Readers: Everyone