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Poster
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Wed 9:00
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Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics
Harsh Rangwani · shrinivas ramasubramanian · Sho Takemori · Kato Takashi · Yuhei Umeda · Venkatesh Babu R
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Poster
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Wed 9:00
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Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression
Liangzu Peng · Christian Kümmerle · Rene Vidal
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Poster
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Wed 9:00
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Optimal Dynamic Regret in LQR Control
Dheeraj Baby · Yu-Xiang Wang
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Workshop
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Optimizing the Performative Risk under Weak Convexity Assumptions
Yulai Zhao
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Poster
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Wed 14:00
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Discrete-Convex-Analysis-Based Framework for Warm-Starting Algorithms with Predictions
Shinsaku Sakaue · Taihei Oki
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Poster
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Tue 14:00
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Diversified Recommendations for Agents with Adaptive Preferences
William Brown · Arpit Agarwal
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Poster
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Wed 14:00
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Rate-Optimal Online Convex Optimization in Adaptive Linear Control
Asaf Benjamin Cassel · Alon Peled-Cohen · Tomer Koren
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Poster
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Tue 14:00
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Online Agnostic Multiclass Boosting
Vinod Raman · Ambuj Tewari
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Poster
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Tue 14:00
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Quantum Speedups of Optimizing Approximately Convex Functions with Applications to Logarithmic Regret Stochastic Convex Bandits
Tongyang Li · Ruizhe Zhang
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Poster
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Wed 9:00
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The First Optimal Algorithm for Smooth and Strongly-Convex-Strongly-Concave Minimax Optimization
Dmitry Kovalev · Alexander Gasnikov
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Workshop
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Fri 12:15
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Low Rank Approximation for Faster Convex Optimization
Madeleine Udell
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Poster
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Wed 9:00
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Between Stochastic and Adversarial Online Convex Optimization: Improved Regret Bounds via Smoothness
Sarah Sachs · Hedi Hadiji · Tim van Erven · Cristóbal Guzmán
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