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Poster
Tue 7:00 Customizing ML Predictions for Online Algorithms
Keerti Anand · Rong Ge · Debmalya Panigrahi
Poster
Tue 7:00 On the Noisy Gradient Descent that Generalizes as SGD
Jingfeng Wu · Wenqing Hu · Haoyi Xiong · Jun Huan · Vladimir Braverman · Zhanxing Zhu
Poster
Tue 7:00 Streaming Submodular Maximization under a k-Set System Constraint
Ran Haba · Ehsan Kazemi · Moran Feldman · Amin Karbasi
Poster
Tue 7:00 Expert Learning through Generalized Inverse Multiobjective Optimization: Models, Insights, and Algorithms
Chaosheng Dong · Bo Zeng
Poster
Tue 7:00 Streaming k-Submodular Maximization under Noise subject to Size Constraint
Lan N. Nguyen · My T. Thai
Poster
Tue 7:00 Approximation Guarantees of Local Search Algorithms via Localizability of Set Functions
Kaito Fujii
Poster
Tue 7:00 Optimizing for the Future in Non-Stationary MDPs
Yash Chandak · Georgios Theocharous · Shiv Shankar · Martha White · Sridhar Mahadevan · Philip Thomas
Poster
Tue 8:00 Finite-Time Convergence in Continuous-Time Optimization
Orlando Romero · mouhacine Benosman
Poster
Tue 8:00 On the Unreasonable Effectiveness of the Greedy Algorithm: Greedy Adapts to Sharpness
Sebastian Pokutta · Mohit Singh · Alfredo Torrico
Poster
Tue 9:00 Obtaining Adjustable Regularization for Free via Iterate Averaging
Jingfeng Wu · Vladimir Braverman · Lin Yang
Poster
Tue 9:00 Variance Reduction in Stochastic Particle-Optimization Sampling
Jianyi Zhang · Yang Zhao · Changyou Chen
Poster
Tue 9:00 Recovery of Sparse Signals from a Mixture of Linear Samples
Soumyabrata Pal · Arya Mazumdar