conftrace_
← Optimization
Mathematics & Optimization › Optimization ›

Stochastic Methods

2,788 papers

Papers per year

1
2
23
82
292
98
'00
'05
'10
'15
'20
'25

Papers

Linear Bandits on Uniformly Convex Sets JMLR 2021
Tight sampling and discarding bounds for scenario programs with an arbitrary number of removed samples L4DC 2021
Adaptive Risk Sensitive Model Predictive Control with Stochastic Search L4DC 2021
Chance-constrained quasi-convex optimization with application to data-driven switched systems control L4DC 2021
Reward Biased Maximum Likelihood Estimation for Reinforcement Learning L4DC 2021
Regret-optimal measurement-feedback control L4DC 2021
Measuring the relative importance of full text sections for information retrieval from scientific literature. NAACL 2021
On a Utilitarian Approach to Privacy Preserving Text Generation NAACL 2021
When to Hedge in Interactive Services NSDI 2021
Segcache: a memory-efficient and scalable in-memory key-value cache for small objects NSDI 2021
LightGuardian: A Full-Visibility, Lightweight, In-band Telemetry System Using Sketchlets NSDI 2021
Fast and Light Bandwidth Testing for Internet Users NSDI 2021
Toward Nearly-Zero-Error Sketching via Compressive Sensing NSDI 2021
Rearchitecting Linux Storage Stack for µs Latency and High Throughput OSDI 2021
Optimizing Storage Performance with Calibrated Interrupts OSDI 2021
STEP: Stochastic Traversability Evaluation and Planning for Risk-Aware Off-road Navigation RSS 2021
PROMPT: Probabilistic Motion Primitives based Trajectory Planning RSS 2021
Distributed Covariance Steering with Consensus ADMM for Stochastic Multi-Agent Systems RSS 2021
Efficient debiased evidence estimation by multilevel Monte Carlo sampling UAI 2021
XOR-SGD: provable convex stochastic optimization for decision-making under uncertainty UAI 2021
Variance reduction in frequency estimators via control variates method UAI 2021
Matrix games with bandit feedback UAI 2021
Approximate implication with d-separation UAI 2021
LocalNewton: Reducing communication rounds for distributed learning UAI 2021
When is particle filtering efficient for planning in partially observed linear dynamical systems? UAI 2021