conftrace_
← Optimization & Theory
Machine Learning › Optimization & Theory ›

Optimization

14,983 papers

Papers per year

18
112
342
1289
1646
'05
'10
'15
'20
'25

Papers

Projection-Free Optimization on Uniformly Convex Sets AISTATS 2021
Differentiable Greedy Algorithm for Monotone Submodular Maximization: Guarantees, Gradient Estimators, and Applications AISTATS 2021
Regularized Policies are Reward Robust AISTATS 2021
A Fast and Robust Method for Global Topological Functional Optimization AISTATS 2021
When OT meets MoM: Robust estimation of Wasserstein Distance AISTATS 2021
Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series AISTATS 2021
Alternating Direction Method of Multipliers for Quantization AISTATS 2021
On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification AISTATS 2021
Kernel Distributionally Robust Optimization: Generalized Duality Theorem and Stochastic Approximation AISTATS 2021
Deep Spectral Ranking AISTATS 2021
On the Absence of Spurious Local Minima in Nonlinear Low-Rank Matrix Recovery Problems AISTATS 2021
Curriculum Learning by Optimizing Learning Dynamics AISTATS 2021
SONIA: A Symmetric Blockwise Truncated Optimization Algorithm AISTATS 2021
Adaptive Approximate Policy Iteration AISTATS 2021
Nearest Neighbour Based Estimates of Gradients: Sharp Nonasymptotic Bounds and Applications AISTATS 2021
Hierarchical Clustering via Sketches and Hierarchical Correlation Clustering AISTATS 2021
Learning to Defend by Learning to Attack AISTATS 2021
CADA: Communication-Adaptive Distributed Adam AISTATS 2021
Learning Prediction Intervals for Regression: Generalization and Calibration AISTATS 2021
Robustness and scalability under heavy tails, without strong convexity AISTATS 2021
Understanding the wiring evolution in differentiable neural architecture search AISTATS 2021
Learning with risk-averse feedback under potentially heavy tails AISTATS 2021
Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model AISTATS 2021
Adaptive Sampling for Fast Constrained Maximization of Submodular Functions AISTATS 2021
Hadamard Wirtinger Flow for Sparse Phase Retrieval AISTATS 2021