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Optimization

14,983 papers

Papers per year

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Papers

Adaptive Sequence Submodularity NIPS 2019
Balancing Efficiency and Fairness in On-Demand Ridesourcing NIPS 2019
Exact inference in structured prediction NIPS 2019
Policy Poisoning in Batch Reinforcement Learning and Control NIPS 2019
Improving Black-box Adversarial Attacks with a Transfer-based Prior NIPS 2019
Optimal Stochastic and Online Learning with Individual Iterates NIPS 2019
iSplit LBI: Individualized Partial Ranking with Ties via Split LBI NIPS 2019
Optimal Pricing in Repeated Posted-Price Auctions with Different Patience of the Seller and the Buyer NIPS 2019
Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers NIPS 2019
A Mean Field Theory of Quantized Deep Networks: The Quantization-Depth Trade-Off NIPS 2019
Personalizing Many Decisions with High-Dimensional Covariates NIPS 2019
Convergence-Rate-Matching Discretization of Accelerated Optimization Flows Through Opportunistic State-Triggered Control NIPS 2019
Principal Component Projection and Regression in Nearly Linear Time through Asymmetric SVRG NIPS 2019
Private Stochastic Convex Optimization with Optimal Rates NIPS 2019
Complexity of Highly Parallel Non-Smooth Convex Optimization NIPS 2019
Optimizing Generalized Rate Metrics with Three Players NIPS 2019
Learning Positive Functions with Pseudo Mirror Descent NIPS 2019
Censored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback NIPS 2019
Robust and Communication-Efficient Collaborative Learning NIPS 2019
A Regularized Approach to Sparse Optimal Policy in Reinforcement Learning NIPS 2019
First-order methods almost always avoid saddle points: The case of vanishing step-sizes NIPS 2019
Faster Boosting with Smaller Memory NIPS 2019
DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation NIPS 2019
Provably robust boosted decision stumps and trees against adversarial attacks NIPS 2019
On the convergence of single-call stochastic extra-gradient methods NIPS 2019