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Optimization

14,983 papers

Papers per year

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Papers

Distributed Distributionally Robust Optimization with Non-Convex Objectives NIPS 2022
Non-Convex Bilevel Games with Critical Point Selection Maps NIPS 2022
Learning Deep Input-Output Stable Dynamics NIPS 2022
Gradient Descent: The Ultimate Optimizer NIPS 2022
DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization NIPS 2022
LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation NIPS 2022
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization NIPS 2022
Is $L^2$ Physics Informed Loss Always Suitable for Training Physics Informed Neural Network? NIPS 2022
Factored DRO: Factored Distributionally Robust Policies for Contextual Bandits NIPS 2022
Zonotope Domains for Lagrangian Neural Network Verification NIPS 2022
Truly Deterministic Policy Optimization NIPS 2022
Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees NIPS 2022
Simulation-guided Beam Search for Neural Combinatorial Optimization NIPS 2022
Amortized Proximal Optimization NIPS 2022
Deep Generalized Schrödinger Bridge NIPS 2022
Learning Mixed Multinomial Logits with Provable Guarantees NIPS 2022
Data-Driven Conditional Robust Optimization NIPS 2022
COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics NIPS 2022
Safety Guarantees for Neural Network Dynamic Systems via Stochastic Barrier Functions NIPS 2022
Theoretically Better and Numerically Faster Distributed Optimization with Smoothness-Aware Quantization Techniques NIPS 2022
On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach NIPS 2022
Robustness to Unbounded Smoothness of Generalized SignSGD NIPS 2022
Analyzing Sharpness along GD Trajectory: Progressive Sharpening and Edge of Stability NIPS 2022
Minimax Optimal Algorithms for Fixed-Budget Best Arm Identification NIPS 2022
Automatic Differentiation of Programs with Discrete Randomness NIPS 2022