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Poster
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Tue 4:30
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Locally Differentially Private Decentralized Stochastic Bilevel Optimization with Guaranteed Convergence Accuracy
Ziqin Chen · Yongqiang Wang
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Workshop
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Differentiable Weighted Automata
Anand Balakrishnan · Jyotirmoy Deshmukh
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Workshop
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Differentiable Cost-Parameterized Monge Map Estimators
Samuel Howard · George Deligiannidis · Patrick Rebeschini · James Thornton
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Workshop
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You Shall Pass: Dealing with the Zero-Gradient Problem in Predict and Optimize for Convex Optimization
Grigorii Veviurko · Wendelin Boehmer · Mathijs de Weerdt
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Poster
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Tue 2:30
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Differentiable Combinatorial Scheduling at Scale
Mingju Liu · Yingjie Li · Jiaqi Yin · Zhiru Zhang · CUNXI YU
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Poster
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Thu 2:30
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Towards AutoAI: Optimizing a Machine Learning System with Black-box and Differentiable Components
Zhiliang Chen · Chuan-Sheng Foo · Bryan Kian Hsiang Low
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Poster
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Thu 2:30
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Optimal Differentially Private Model Training with Public Data
Andrew Lowy · Zeman Li · Tianjian Huang · Meisam Razaviyayn
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Poster
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Thu 2:30
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Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Rates
Riccardo Grazzi · Massimiliano Pontil · Saverio Salzo
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Poster
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Thu 2:30
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Differentiable Distributionally Robust Optimization Layers
Xutao Ma · Chao Ning · WenLi Du
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Poster
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Wed 2:30
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Differentiable Mapper for Topological Optimization of Data Representation
Ziyad Oulhaj · Mathieu Carrière · Bertrand Michel
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Oral
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Wed 2:15
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Differentiable Mapper for Topological Optimization of Data Representation
Ziyad Oulhaj · Mathieu Carrière · Bertrand Michel
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Workshop
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Differentiable Mapper for Topological Optimization of Data Representation
Ziyad Oulhaj · Mathieu Carrière · Bertrand Michel
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