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Oral
Fri Jul 22 02:30 AM -- 02:50 AM (KST) @ Ballroom 3 & 4
UnderGrad: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate Guarantees
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Fri Jul 22 02:50 AM -- 02:55 AM (KST) @ Ballroom 3 & 4
Safe Learning in Tree-Form Sequential Decision Making: Handling Hard and Soft Constraints
Spotlight
Fri Jul 22 02:55 AM -- 03:00 AM (KST) @ Ballroom 3 & 4
A Marriage between Adversarial Team Games and 2-player Games: Enabling Abstractions, No-regret Learning, and Subgame Solving
Spotlight
Fri Jul 22 03:00 AM -- 03:05 AM (KST) @ Ballroom 3 & 4
Exact Learning of Preference Structure: Single-peaked Preferences and Beyond
Spotlight
Fri Jul 22 03:05 AM -- 03:10 AM (KST) @ Ballroom 3 & 4
Selling Data To a Machine Learner: Pricing via Costly Signaling
Spotlight
Fri Jul 22 03:10 AM -- 03:15 AM (KST) @ Ballroom 3 & 4
Hardness and Algorithms for Robust and Sparse Optimization
Oral
Fri Jul 22 03:15 AM -- 03:35 AM (KST) @ Ballroom 3 & 4
A Convergent and Dimension-Independent Min-Max Optimization Algorithm
Spotlight
Fri Jul 22 03:35 AM -- 03:40 AM (KST) @ Ballroom 3 & 4
Stochastic Continuous Submodular Maximization: Boosting via Non-oblivious Function
Spotlight
Fri Jul 22 03:40 AM -- 03:45 AM (KST) @ Ballroom 3 & 4
Accelerated Gradient Methods for Geodesically Convex Optimization: Tractable Algorithms and Convergence Analysis
Spotlight
Fri Jul 22 03:45 AM -- 03:50 AM (KST) @ Ballroom 3 & 4
The Complexity of k-Means Clustering when Little is Known
Spotlight
Fri Jul 22 03:50 AM -- 03:55 AM (KST) @ Ballroom 3 & 4
Iterative Hard Thresholding with Adaptive Regularization: Sparser Solutions Without Sacrificing Runtime
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Spotlight
Fri Jul 22 03:55 AM -- 04:00 AM (KST) @ Ballroom 3 & 4
3PC: Three Point Compressors for Communication-Efficient Distributed Training and a Better Theory for Lazy Aggregation
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