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9 Results

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Poster
Tue 14:00 Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor
Lijun Zhang · Wei Jiang · Jinfeng Yi · Tianbao Yang
Poster
Tue 14:00 Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost
Sungjun Cho · Seonwoo Min · Jinwoo Kim · Moontae Lee · Honglak Lee · Seunghoon Hong
Poster
Tue 14:00 Reinforcement Learning with Logarithmic Regret and Policy Switches
Grigoris Velegkas · Zhuoran Yang · Amin Karbasi
Poster
Thu 14:00 Optimal Comparator Adaptive Online Learning with Switching Cost
Zhiyu Zhang · Ashok Cutkosky · Yannis Paschalidis
Poster
Wed 9:00 Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPs
Yeoneung Kim · Insoon Yang · Kwang-Sung Jun
Poster
Thu 14:00 Adapting to Online Label Shift with Provable Guarantees
Yong Bai · Yu-Jie Zhang · Peng Zhao · Masashi Sugiyama · Zhi-Hua Zhou
Poster
Tue 9:00 Better Best of Both Worlds Bounds for Bandits with Switching Costs
Idan Amir · Guy Azov · Tomer Koren · Roi Livni
Poster
Tue 14:00 Efficient Methods for Non-stationary Online Learning
Peng Zhao · Yan-Feng Xie · Lijun Zhang · Zhi-Hua Zhou
Poster
Thu 14:00 No-regret learning in games with noisy feedback: Faster rates and adaptivity via learning rate separation
Yu-Guan Hsieh · Kimon Antonakopoulos · Volkan Cevher · Panayotis Mertikopoulos